Method and means for diagnosing tumors

ABSTRACT

The invention relates to a method and means for diagnosing tumors, in particular for an early diagnosis (prevention) and for differentiating between benign and malignant tumors using a PCR, in particular in bodily fluids. The method according to the invention is characterized by a combination of a pre-amplification process using a PCR, wherein methylated DNA sequences are amplified more strongly than non-methylated DNA sequences, and a subsequent quantification process using a special digital PCR, in which significantly more DNA is used than normally in the prior art. As comparison data indicates, the invention advantageously allows a clear reliable conclusion as to whether a malignant tumor disease is present or not. The invention is suitable for screening (prevention), monitoring the progress of a tumor disease, in particular to order to exclude a minimal residual disease (MRD), and for a differential diagnosis between malignant carcinoma and benign tumors.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is the National Phase filing under 35 U.S.C. § 371 of International Application No. PCT/EP2016/082414, filed on Dec. 22, 2016, and published on Jul. 6, 2017, as WO 2017/114754 A1, and claims priority to German Application No. 102016216438.4, filed on Aug. 31, 2016 and German Application No. 102015226843.8, filed on Dec. 30, 2015. The entire disclosures of each of the prior applications are hereby incorporated herein by reference in their entirety.

FIELD OF THE INVENTION

The invention relates to a method and to means for diagnosing tumours, in particular for early diagnosis (precautionary examinations) and to distinguish between benign and malignant tumours by means of PCR, in particular in bodily fluids.

BRIEF SUMMARY OF THE INVENTION

The prognosis of cancer diseases such as prostate and breast cancer and other solid tumours goes hand in hand with the time of diagnosis. For example, the 5 to 10-year survival rates are highly dependent on the stage the tumour is at when the disease is discovered. Where a tumour disease is diagnosed too late, this is often associated with metastases having already occurred. Therefore, timely diagnosis of malignant tumours requires biomarkers that give early indications of such degeneration to a high degree of diagnostic sensitivity and specificity. Previously, the tumour markers known hitherto and used in clinical-chemical diagnosis have only proven useful for monitoring the progress of tumour patients following therapeutic interventions, but the large majority of them do not allow for use in early diagnosis (screening or precautionary examinations) of tumour diseases. The diagnostic sensitivities and specificities in this regard are still insufficient for using said biomarkers to reliably distinguish between healthy patients and those with tumours, in particular in the early stages of tumour development.

BACKGROUND ART

In addition to sequence-dependent changes to the DNA, tumour cells also differ on account of sequence-independent epigenetic DNA alterations, including hypermethylation. These tumour-specific changes in the DNA methylation can be used as new cancer markers (e.g. WO2012007462A1, WO2013064163A1, US20130022974, US20110301050).

However, these altered methylation patterns in selective DNA portions can currently only be detected in blood, urine or other human bodily fluids or smears and histological preparations to an insufficient level of analytical sensitivity. Currently, the methylation level in various targets of interest is mainly determined using PCR-based methods, which are carried out following bisulphite pre-treatment of genomic DNA, apart from in the case of methylation-sensitive restriction enzyme analysis (MSRE-PCR). The detection limits differ between the various methods for detecting methylated DNA. Direct BSP (Sanger sequencing) has a sensitivity of from 10-20%, whereas pyrosequencing and MALDI-TOF mass spectrometry-based methods achieve sensitivities of around 5% [1, 2]. MSP (methylation specific PCR), MethyLight, SMART-MSP (sensitive melting analysis after real time-methylation specific PCR) and MS-HRM (methylation-sensitive high-resolution melting) have a detection sensitivity of between 0.1-1.0% [3-6]. PCR bias is discussed as being a significant drawback of current PCR-based methods; this is a phenomenon whereby methylated and unmethylated DNA strands are copied at different levels of efficiency [3, 4].

Another problem associated with current DNA methylation detection methods is that of false positives, which may occur due to incomplete bisulphite conversion and non-specific primer annealing, in particular when methyl-specific primers are used [4]. In addition, none of the aforementioned methods involves a sensitive and above all quantitative detection of heterogeneously methylated DNA fragments, known as “epialleles”. Digital PCR is a new technique in which no PCR bias occurs since each DNA molecule is copied in a separate reaction compartment [7, 8]. Regardless of the amount of DNA available and the assay design, sensitivities of up to 0.001% are described for dPCR [9]. Another advantage of this technique is that absolute values are obtained even when no calibrators are used.

Previously, a commercial test based on detecting cellular epigenetic changes such as DNA methylation as an early and typical feature of malignant changes was only available for diagnosing colorectal cancer by identifying the methylated SEPT9 [10], diagnosing gliomas by means of MGMT, and diagnosing lung cancer by detecting SHOX2 [11]. The SEPT9 test (Epigenomics AG, Berlin, Del.) has a diagnostic sensitivity of 72% and a diagnostic specificity of 90% for detecting colon cancer, i.e. 10% of the individuals tested are given pathological results despite there being no colon cancer [10]. For the GSTP1 gene, the LightMix Kit GSTP1 (Epigenomics, Berlin, Del.) is commercially available, although insufficiently high analytical sensitivity has meant this test has yet to be widely used in conjunction with PSA determination in the clinical-chemical diagnosis of prostate cancer. The ConfirmMDx test marketed by MDxHealth for detecting or ruling out prostate cancer in prostate tissue biopsy samples has a diagnostic sensitivity of 68% and a diagnostic specificity of 64% for detecting prostate tumour cells in the tissues tested, i.e. for 36% of the tissue samples tested, pathological findings are issued despite there being no prostate cancer [12].

The importance of establishing new biomarkers and providing corresponding commercial test kits, e.g. for diagnosing prostate cancer (PCa) can be seen in the high number (more than 150,000) of prostate biopsies carried out annually in Germany alone that were indicated on the basis of PSA determinations and in which tumours were only detected in around 25% of the cases studied [13, 14]. Prostate needle biopsies are an invasive diagnostic method associated with side effects requiring treatment such as bleeds and inflammation in around 5% of biopsies [13, 14]. In addition, not all PCa are detected with a single tissue biopsy, meaning that repeat tests are necessary; a negative result does not reliably rule out the possibility of PCa being present either [13, 14].

The object of the invention is to specify an improved method for diagnosing tumours and a kit for carrying out said method that are suitable in particular for early diagnosis (screening) and for distinguishing between benign and malignant tumours by means of PCR, in particular in bodily fluids.

The object is achieved by a method for diagnosing a tumour disease in an isolated sample, comprising the steps of:

-   a) bisulphite conversion of the DNA in the sample (conversion of     unmethylated cytosine into uracil), -   b) (pre-)amplification of methylated and unmethylated DNA sequences     by means of PCR, the methylated DNA sequences (where these are     tumour-specific) preferably being amplified to a greater extent than     the unmethylated DNA sequences or alternatively the unmethylated DNA     sequences (where these are tumour-specific) being amplified over the     methylated DNA sequences, and then -   c) quantifying the pre-amplified methylated and unmethylated DNA by     means of digital PCR (dPCR), the number of pre-amplified DNA copies     used in the dPCR preferably being above the normal Poisson     distribution.

Step b) includes pre-amplifying genomic DNA by means of optimised bias-based PCR, the bias preferably being in favour of the methylated sequences or alternatively in favour of the unmethylated sequences (depending on the specificity for tumour DNA). Therefore, this step will also be referred to as bias-based PCR amplification (BBPA) below. In this step, genomic DNA sequences (referred to in the following as targets of interest or target sequences) that are known to be methylated in malignant tumours are each amplified by means of specific primer pairs such that corresponding unmethylated sequences (DNA from healthy cells) are also amplified. It was surprisingly found that, in the method according to the invention, the number of false positives is significantly reduced as a result compared with a (conventional) methyl-specific PCR (MS-PCR) using methyl-specific primers (MSP). To this end, for each primer pair the bias is first determined according to the MgCl₂ concentration, annealing temperature and number of cycles. In this way, considerably higher diagnostic specificities are achieved for distinguishing between healthy patients and those with tumours, without reducing the analytical sensitivity. A high diagnostic specificity, i.e. a low rate of false positives, is critical in deciding whether a test procedure can be used for screening for tumour diseases or precautionary examinations. In the method according to the invention, partially methylated DNA (known as heterogeneously methylated epialleles) are also advantageously amplified. In step b) (pre-amplification), the reaction conditions, such as MgCl₂ concentration and annealing temperature, are preferably selected such that the majority of the methylated sequences are copied regardless of how many unmethylated sequences there are in the sample being tested, and only unmethylated sequences are copied when there are no methylated DNA sequences present.

The term “target of interest” or target sequence also includes regulatory sequences outside of an open reading frame (ORF)

Advantageously, it has been found that, in the method according to the invention, the preferred pre-amplification of methylated sequences is also possible in samples in which there are high levels of background DNA (unmethylated DNA). In the method according to the invention, this DNA does not pose a problem. As a result, the method according to the invention is also suitable for analysing tumour DNA in bodily fluids, smears or tissue samples (“circulating free tumour DNA”, cf-tumour DNA).

Generally, methylated DNA sequences are tumour-specific and are thus amplified to a greater extent in step b) than the unmethylated DNA sequences. This is the case, for example, in the targets of interest PLA2R1, RASSF1A, GSTP1, AOX1, SERPINE-1 and thrombomodulin preferably studied in the following. However, there are also cases, e.g. the MGMT gene in glioblastoma [15], in which the unmethylated DNA sequences are tumour-specific and the methylated DNA sequences are found in the healthy tissue. In these cases, the unmethylated DNA sequences are preferably amplified to a greater extent in step b) than the methylated DNA sequences.

In step c), quantification is carried out by means of digital PCR (also referred to as dPCR below). In the known digital PCR methods, the DNA used undergoes limiting dilution in such a way that no DNA molecules or precisely one DNA molecule is present in as many compartments as possible (Poisson distribution). The inventors have now surprisingly discovered that increasing the amount of DNA used in the dPCR beyond the Poisson distribution (e.g. with 10,000 compartments, more than 80,000 DNA copies are analysed in the dPCR, i.e. at a copy per compartment (CPC) rate of >8) significantly improves the specificity and the distinction between healthy samples and malignant tumour diseases. According to the prior art, a Poisson distribution is present for the dPCR when the CPC is <8 since otherwise there are no compartments without DNA copies available to form the basis for the calculations [9].

The combination of steps b) and c) (also referred to as BBPA-dPCR in the following) advantageously achieves considerably higher analytical and diagnostic sensitivities, and the method according to the invention also surprisingly makes it possible to draw much more reliable conclusions as to whether or not there is a malignant tumour. As a result, the method is suitable for early detection screening (precautionary examinations). A further advantage of the method according to the invention is that it makes it possible to distinguish between benign and malignant tumours and to detect a minimal residual disease (MRD), thereby allowing the treatment and disease progression to be monitored. The principle of the method according to the invention is summarised in FIG. 1 on the basis of embodiments.

The inventors' preliminary studies surprisingly showed that, when an optimum annealing temperature was selected in the BBPA, the methylation level in the targets of interest studied in samples from healthy subjects (as determined in the subsequent dPCR) approached 0% as the number of PCR BBPA cycles increased, and that, at an appropriate annealing temperature, the methylation level in samples from female breast cancer patients and prostate cancer patients approached 100% when a suitable MgCl₂ concentration and number of cycles were selected in the BBPA (FIGS. 2-4, 7 and 8, Tables 2-5). This unexpected phenomenon is not yet fully understood, but it can be used to significantly improve the distinction between healthy samples, i.e. with no fc-tumour DNA, and diseased samples, i.e. with fcT-DNA detected accordingly. In principle, such a clear-cut distinction makes it possible to give a yes/no answer to the question of whether or not there is tumour-specific DNA and therefore a tumour disease present. In principle, this method makes it possible to specifically detect just one single tumour DNA molecule against a large background of normal DNA.

The greater the proportion of methylated sequences, the greater the likelihood of there being a malignant tumour disease, in particular in the advanced stage.

According to the prior art, digital PCR alone and the previously known PCR-based techniques alone (MS-qPCR or PCR followed by melting curve analysis (MS-HRM)) are not able to reliably distinguish between patients with tumours and healthy patients (with no tumours) using bodily fluid samples (liquid biopsy tests). For example, in the event of results that are very close to one another, i.e. in terms of the proportion of fcT-DNA compared with the proportion of normal wild type DNA, and no reliable distinction can be drawn between healthy patients and those with tumours, no further distinctions can be made by means of MS-HRM or dPCR alone unless additional DNA is added to the tests. However, this is often not possible when liquid biopsy materials, e.g. serum, plasma, urine, cerebrospinal fluid or smears, are used. By contrast, increasing the number of BBPA cycles in the BBPA-dPCR technique according to the invention makes it easier to clearly distinguish between healthy and diseased samples. This is particularly significant when distinguishing between benign hyperplasia, e.g. benign prostatic hyperplasia (BPH), and malignant diseases such as prostate cancer, as demonstrated in the embodiments on the basis of cell cultures and serum samples from prostate cancer patients.

In step b), the methylated and unmethylated DNA sequences of the targets of interest are preferably copied using a correspondingly high number of PCR cycles (preferably from 10 to 50 cycles), and are then quantified in the dPCR (step c)) either directly or after the amplified material has been slightly pre-diluted if the number of BBPA cycles is high.

Next, the individual steps of the method and preferred embodiments will be explained in more detail:

Prior to step a), DNA is preferably isolated (step a′)) using known methods. A person skilled in the art also knows to carry out bisulphite conversion. The person skilled in the art can use commercially available kits for both steps.

In principle, the isolated sample can be a tissue sample. Advantageously, however, the method according to the invention is also suitable for detecting methylated tumour DNA in bodily fluids (liquid biopsy), e.g. full blood, serum, plasma, urine, cerebrospinal fluid, sputum, bronchial washing, semen, nipple discharge, vaginal secretion (smear) or lymph, particularly preferably serum, plasma or urine.

In step b) (BBPA), methylated and corresponding unmethylated DNA sequences of the same gene portion are copied by means of PCR such that the methylated DNA sequences (when specific for tumours) or unmethylated DNA sequences (when specific for tumours) are amplified to a greater extent.

Unlike the prior art, in which it is recommended to use primer pairs having at most two CpG sites, in some cases three CpG sites, that are all as close as possible to the 5′ end but preferably not located at the 3′ end of the primer sequences [4, 16-19], primers that together contain up to seven CpG sites in their sequences can be used according to the invention, in particular in combination with suitable MgCl₂ concentrations and annealing temperatures. In the process, the CpG sites can be distributed over the entire primer sequence, preferably so close to the 3′ end that a cytosine of a CpG dinucleotide sequence is located directly at the 3′ end. In this way, tumour DNA can be detected in a significantly more sensitive and at the same time more specific manner, i.e. without an increase in false-positive signals, even when there is a high proportion of normal DNA (wild-type DNA) in the sample being tested, which is often the case in human bodily fluids, smears or tissue samples. In addition, primers can also be designed for testing CpG-rich gene sequences that would otherwise not have been able to be tested.

Since the primers and in particular also the reaction conditions (annealing temperature always at MgCl₂ concentrations optimised accordingly in the reaction buffer) are selected such that they amplify both methylated and unmethylated DNA sequences, i.e. they are methylation-independent primers (MIP), when optimised reaction conditions are selected, the primers enter into competition reactions for methylated and unmethylated DNA molecules, thereby preventing false-positive signals, unlike when methylation-specific primers (MSP) are used. As well as higher specificity, methylated DNA copies can thus be identified in a considerably more sensitive and specific manner against a large background of unmethylated DNA copies. In addition, heterogeneously methylated DNA fragments (epialleles) are also quantified as well as homogeneously methylated fragments, thereby allowing for a more clear-cut differentiation between tumour diseases and healthy samples.

Preferably, the PCR conditions (in particular primer sequences, magnesium concentration, annealing temperature and in particular also the number of cycles) are set such that the bias is optimised in favour of the unmethylated DNA sequences, while unmethylated DNA sequences are also amplified at the same time.

In step b), magnesium concentrations (final concentrations) of from 0.5 to 15 mmol/l, preferably from 1 to 10 mmol/l, particularly preferably from 2 to 5 mmol/l, in particular from 2 to 4 mmol/l, particularly preferably from 2.5 to 3.5 mmol/l are preferably selected for the PCR.

The inventors have discovered that the bias can be shifted in favour of the methylated DNA sequences by a high annealing temperature and high 5′-CG-3′ content. When the annealing temperature, MgCl₂ concentration, number of cycles and primer design are adapted to one another appropriately, the specificity and sensitivity of the method can advantageously be increased such that a liquid biopsy can be used for early tumour screening (precautionary examinations) and to detect a minimal residual disease (MRD). If methylated sequences are to be preferably pre-amplified over unmethylated sequences, high annealing temperatures and lower MgCl₂ concentrations (though only so low as to ensure unmethylated DNA sequences are still pre-amplified to a minor extent, thus preventing false-positive signals) are preferably selected in addition to the 5′-CG-3′-containing primer sequences. If unmethylated sequences are to be preferably pre-amplified over methylated sequences, in addition to the primer design (no 5′-CG-3′-containing sequence as far as possible, or at most two such sequences) the annealing temperature and MgCl₂ concentration can be adjusted accordingly in line with preliminary tests described below.

The primers are preferably selected in step b) such that they contain from zero to seven 5′-CG-3′ dinucleotide sequences per primer pair, preferably from two to six, preferably from three to five, particularly preferably from one to at most three, more preferably either one or two 5′-CG-3′ dinucleotide sequences per primer pair.

It has surprisingly also been found that the diagnostic sensitivity of the method can be increased further, i.e. a greater number of pathological results where there is actually a tumour disease, when, per target of interest, two or more (different) primer pairs that preferably all include the sequences detected by the probes in dPCR are used separately or simultaneously in the pre-amplification.

The annealing temperatures are preferably above 40° C., in particular above 45° C., and are preferably between 50 and 72° C., preferably between 53 and 70° C., particularly preferably up to 63° C. Like the MgCl₂ concentrations and the optimum number of cycles, the optimum annealing temperatures are preferably determined empirically for each primer pair.

The bias is optimised in favour of the methylated DNA sequences preferably by empirically adjusting the primer sequences and annealing temperatures, preferably together with the MgCl₂ concentrations, following the aforementioned selection rules. For each target of interest or each gene sequence, the PCR conditions (in particular primer selection and annealing temperature, together with the MgCl₂ concentration and number of cycles) are preferably determined using a sample having a known ratio of methylated DNA to unmethylated DNA (FIGS. 34-37 and Tables 21 and 22). If no bias is achieved using primers without 5′-CG-3′ dinucleotide sequences, or the bias is only achieved at high annealing temperatures (e.g. above 70° C.), one 5′-CG-3′ dinucleotide sequence is added; if this is insufficient, at most two, three or four 5′-CG-3′ dinucleotide sequences are added (i.e. either one 5′-CG-3′ dinucleotide sequence added to the forward and reverse primer sequence or from two to four 5′-CG-3′ dinucleotide sequences added to the forward or reverse primer sequence). At low MgCl₂ concentrations (e.g. below 1.0 mmol/l), three 5′-CG-3′ dinucleotide sequences are preferably added; if this is insufficient, at most eight, preferably at most seven 5′-CG-3′ dinucleotide sequences are added per primer pair. In this case, it is irrelevant whether the 5′-CG-3′ dinucleotide sequences are found at the 5′ end, as is recommended in previous literature [4, 16-19]. On the contrary, the sensitivity of tests on samples containing a high background of normal wild-type DNA can be increased using primers in which the 5′-CG-3′ dinucleotide sequences are located particularly close or directly at the 3′ end of the primers [FIGS. 38-45 and Tables 27-30]. In addition to higher analytical sensitivity, it is thus also possible to advantageously construct primers for gene portions that are characterised by a high density of 5′-CG-3′ dinucleotide sequences and have previously not been used for testing in accordance with the current literature recommendations [4, 16-19].

In particular, the number of PCR cycles in step b) is dependent on the starting concentration of the DNA in the sample being tested. Depending on the amount of DNA available, cycle numbers of from 5 to 50, preferably from 10 to 50, particularly preferably at least 15 and/or up to 40 are selected.

In principle, the method according to the invention can be used for any target of interest being tested. Preferably, the methylation level in DNA sequences of from three to five, preferably of up to six targets of interest are analysed in the method according to the invention. For this purpose, step b) is preferably carried out as multiplex PCR, i.e. the primer pairs for pre-amplifying the target sequences are adapted to one another such that they have approximately the same annealing temperature and do not hybridise with one another. Preferably, the primer pairs for pre-amplifying the target sequences in step b) are selected such as to produce the highest analytical and diagnostic sensitivities and specificities at the same annealing temperature, MgCl₂ concentration and number of cycles.

The two-stage method (BBPA-dPCR) is advantageous in that the method has a significantly higher diagnostic sensitivity and in particular higher specificity too compared with previous methods such as dPCR, MSP or MS-HRM, meaning that in principle a single tumour molecule can be detected against a large background of normal DNA (wild-type DNA). Therefore, serum samples can also be tested in addition to plasma, without having to carry out any special pre-analysis. The analytical and diagnostic sensitivity of the novel method is ultimately limited only by the sample being tested actually containing a single tumour DNA molecule that has the target gene sequence and can be transferred to the pre-amplification.

False-positive signals are prevented by simultaneously pre-amplifying unmethylated DNA fragments, even if this is a result of significantly lower efficiency towards methylated DNA sequences or, as surprisingly found, with higher efficiency towards methylated DNA sequences in samples from subjects not having tumour diseases. This is presumably due to the primers entering into competition reactions for the target sequences. In addition, the determined relative methylation levels in the targets of interest can be compared between individual patient samples despite the PCR bias since the level of the bias is the same for each sample tested at constant PCR conditions (constant annealing temperature, MgCl₂ concentration and number of cycles). Owing to the aforementioned advantages and the high diagnostic specificity achieved in the novel method, it is also possible to distinguish between benign hyperplasia and malignant diseases. Preferably, this is beneficial for the differential diagnosis of benign prostatic hyperplasia (BPH), prostatitis and prostate cancer (PCa) diseases since a prostate tissue biopsy is indicated when PSA values are elevated (the critical range is between 2.0 and 15.0 mg/ml; the reference range is from <2.5-4.0 mg/ml).

The higher the proportion of methylated sequences (in particular when specific to tumour DNA), the greater the likelihood of there being an advanced malignant tumour disease. If unmethylated sequences are tumour-specific, the opposite applies.

Depending on the selected primers and PCR conditions (annealing temperature, magnesium chloride concentration and number of cycles) in the pre-amplification, the percentages (fractional abundance) of methylated sequence copies pointing to the absence of a malignant disease in the form of a reference range (healthy normal range) are determined. In the embodiments, for example, a malignant tumour disease is preferably indicated by a proportion of methylated sequences of >2% in PLA2R1 (preferably 168 bp fragment), >0.1% in RASSF1A (preferably 117 bp fragment), >2% in GSTP1 (preferably 120 bp fragment) and >0.05% in GSTP1 (preferably 116 fragment). For each target sequence (and specific PCR conditions), these cut-off values between healthy and diseased samples are determined by also carrying out controls for healthy samples (e.g. DNA isolated from healthy epithelial cells from the prostate (PrEC), the breast (HMEC, MCF10A cell line) or other tissues to be tested) and diseased samples (e.g. DNA isolated from malignant LNCAP, PC-3 and DU145 prostate cells, malignant MCF-7, Cal-51, UACC-812, BT-474, MDA-MB-453 and MDA-MB231 breast tissue cells).

Patients are preferably classified as tumour patients when they present elevated values for homogeneously or heterogeneously methylated epialleles for at least one, preferably two, or even more target gene sequences.

In step c), quantification is carried out by means of digital PCR, although, by contrast to the conventional dPCR, the number of pre-amplified DNA copies used is outside the normal Poisson distribution.

Surprisingly, “overloading” the digital PCR in this way with quantities of DNA copies above a CPC value of 8 leads to increased specificity and thus considerably better distinctions between healthy samples (with no tumour disease) and malignant tumour diseases (see Table 6 in conjunction with Tables 4 and 5). For example, the quantity of samples from healthy subjects used in the dPCR produced a CPC value of 560, and the CPC value for prostate cancer patients was 1938—the values at which the best distinction (i.e. as low a value as possible for healthy samples and as high a value as possible for diseased samples) between healthy and diseased samples was achieved (Table 5).

For this purpose, the DNA pre-amplified in step b) is preferably distributed into the compartments for the digital PCR in non-diluted or slightly diluted form (e.g. up to 1:1000 after 50 cycles). Preferably, such a quantity of DNA is used in the digital PCR for there to be at least one DNA molecule in each compartment, preferably at least five molecules. Preferably, the quantity of DNA used is double that permitted by the Poisson distribution and statistics. Preferably, there are an average of at least 10, preferably at least 20, more preferably at least 50, particularly preferably at least 100 DNA molecules per compartment. In this case, this copies per compartment number (CPC) denotes the average number (arithmetic mean) of dsDNA molecules per compartment.

The number of copies of pre-amplified DNA to be used in the dPCR can be calculated as follows: Number of copies=CPC*number of compartments

Therefore, for a preferred CPC of 8 and 5,000 compartments for example, 40,000 DNA copies are required; if there are 100,000 compartments, the number of copies required is accordingly 800,000. For a particularly preferred CPC of 50 and if there are 100,000 compartments, 5×10⁶ copies must be input into the dPCR. When using the RainDrop (RainDance Technologies) digital system, for example, which has up to 1 million compartments (droplets), a preferred CPC of 10 means 1×10⁷ DNA copies must be used in the dPCR; a particularly preferred CPC of 50 means 5×10⁷ DNA copies must be used.

The methylated and unmethylated DNA sequences are quantified in step c) using probes that specifically hybridise with methylated regions of the pre-amplified target sequences or with the corresponding unmethylated regions.

For each target of interest, the probes for the methylated DNA sequences preferably comprise a total of at least three, preferably at least four, and up to eight, preferably up to seven 5′-CG-3′ dinucleotides. For each gene, the probes for the unmethylated DNA sequences preferably comprise a total of at least three, preferably four, and up to eight, preferably up to seven 5′-CA-3′ dinucleotides. Alternatively, the probes can be used to detect the complementary strand in the amplified double-strand DNA molecule. This is done either separately or together with the probe for the coding strand. To detect the complementary strand, the probes for the unmethylated DNA sequences preferably comprise three, preferably four, and up to seven 5′-TG-3′ dinucleotides (instead of the 5′-CA-3′ dinucleotides). The number of 5′-CG-3′ dinucleotides in the probes for the methylated DNA sequences preferably corresponds to the number of 5′-CA-3′ dinucleotides (or 5′-TG-3′ dinucleotides) in the probes for the unmethylated DNA sequences of the same gene. Per target of interest, the aforementioned number of 5′-CG-3′ or 5′-CA-3′ (or 5′-TG-3′) dinucleotides is either contained in one probe or distributed over a plurality of probes (in particular when it is not possible to design a probe comprising all the methylation sites due to the sequence in the target of interest). Where there are two probes for one target of interest, both probes for the methylated sequences preferably each contain three or four 5′-CG-3′ dinucleotides and both probes for the unmethylated sequences preferably comprise three or four 5′-CA-3′ (or 5′-TG-3′) dinucleotides.

Otherwise, the digital PCR is carried out and quantified according to the usual methods. The compartments are preferably oil droplets (droplet digital PCR, ddPCR). Alternatively, the compartments are preferably arranged on a chip. However, more than one amplification cycle is preferably carried out in digital PCR, preferably at least 5, preferably at least 15, more preferably from 20 to 50, particularly preferably from 30 to 45, more preferably up to 40 cycles. For the quantification, the compartments in which amplification has taken place and with which the probes for the methylated and unmethylated DNA sequences hybridise are counted. The same primers used for the BBPA in step b) can also be used as primers for the dPCR. Alternatively and preferably, nested primers that bond to other sites on the pre-amplified sequence are used. A nested PCR can further increase the specificity. In this case, the primers can be selected according to the standard rules and the selection rules mentioned in step b) do not necessarily have to be followed. Preferably, however, the primers are selected according to the same rules as in step b).

Within the meaning of the invention, therefore, digital PCR (dPCR) is understood to be a PCR in a large number of separate compartments, preferably using a volume in the picolitre or nanolitre range. dPCR is distinguished by the compartments being quantified according to a digital result (amplification: yes or no). By counting a large number of reaction compartments (high-throughput screening preferably using from 10,000 to 100,000 compartments per PCR), statistical significance is obtained. The proportion of reaction chambers in which amplification was successful is proportional to the quantity of DNA used for the amplified DNA sequence; this is used to determine the quantity.

The probes are preferably fluorescently tagged, the probes for methylated and unmethylated sequences preferably being provided with different fluorescent markers. The fluorescent label is preferably attached to one end of the probe (preferably the 5′ end). At the other end, there is preferably a quencher that is adapted to the fluorescent label and suppresses the fluorescent signal. As a result of the hybridisation with the amplified DNA, or following hybridisation and subsequent polymerase action, the quench effect is lifted and the fluorescent signal can be detected. Fluorescent labels and quenchers of this kind are well known to a person skilled in the art and are commercially available for any probe sequences.

If suitable multicolour fluorescence detection systems are available, the digital CPR is preferably also carried out as multiplex PCR. For the quantification, different colour probes are preferably used for each amplified target of interest. In this case, the probes are preferably designed such that they have a comparable hybridisation temperature.

Alternatively, the probes are used and assessed in separate batches in the dPCR. This is also applicable when the probes have different hybridisation temperatures.

If a plurality of probes are used per target of interest, the probes can have the same fluorescent markers and the signal can be integrated. Alternatively, the two aforementioned alternatives for multiplex PCR are used.

For the pre-amplification in step b), primers that amplify methylated and unmethylated DNA sequences in the genes PLA2R1, RASSF1A and GSTP1 are preferably used (methylated DNA being amplified to a greater extent than unmethylated DNA). In step c), the methylation of these targets of interest is quantified.

As shown in the embodiments (see in particular Tables 7-11), selecting these three targets of interest advantageously makes it possible to distinguish between healthy and diseased samples for all tumours tested (prostate cancer, breast cancer, ovarian cancer and renal cell cancer).

To pre-amplify methylated and unmethylated DNA sequences for the genes PLA2R1 (phospholipase A2 receptor 1, HGNC Ace. HGNC 9042, Ensembl: ENSG00000153246), RASSF1A (Rass association (RalGDS/AF-6) domain family member 1, HGNC Ace. HGNC 9882, Ensembl: ENSG00000068028) and GSTP1 (glutathione S-transferase pi 1, HGNC Acc HGNC 4638, Ensembl: ENSG00000084207), the following primer pairs are preferably used in step b):

SEQ SEQ Target Forward (5′->3′) ID Reverse (5′->3′) ID PLA2R1 GGGGTAAGGAAGGTGGAGAT 1 ACAAACCACCTAAATTCTAATAAACAC 2 (168 bp) RASSF1A GTTTGTTAGCGTTTAAAGTTAG 3 AATACGACCCTTCCCAAC 4 (117 bp) GSTP1 GTGAAGCGGGTGTGTAAGTTT 5 TAAACAAACAACAAAAAAAAAAC 6 (120 bp)

Optionally, instead of the PLA2R1 (168 bp) forward primer (SEQ ID No 1), the forward primer according to SEQ ID No 7 and/or 53 is used, and/or instead of the reverse primer (SEQ ID No 2), one of the following reverse primers (SEQ ID No 8, 9, 10 or 11) is used:

Target Forward (5′->3′) SEQ ID Reverse (5′->3′) SEQ ID PLA2R1 GGAAGGTGGAGATTACGG 7 GCGAATTTACAACGAACAAC 8 (133 bp) PLA2R1 GGGGTAAGGAAGGTGGAGAT 53 AATAAACACCGCGAATTTACAAC 9 (150 bp) PLA2R1 ACCTAAATTCTAATAAACACCGC 10 (161 bp) PLA2R1 CCTAAATTCTAATAAACACCGC 11 (160 bp)

Optionally, instead of the GSTP1 (120 bp) forward primer (SEQ ID No 5), the forward primers according to SEQ ID No 91, 93, 95 or 97 are used, and/or instead of the reverse primer (SEQ ID No 6), the reverse primers according to SEQ ID No 92, 94, 96 or 98) are used:

Target Forward (5′->3′) SEQ ID Reverse (5′->3′) SEQ ID GSTP1 CGTAGCGGTTTTAGGGAATTT 91 TCCCCAACGAAACCTAAAAA 92 (114 bp) GSTP1 ATCGTAGCGGTTTTAGGGAA 93 TCCCCAACGAAACCTAAAAA 94 (116 bp) GSTP1 TGTAAGTTTCGGGATCGTAGC 95 TCCCCAACGAAACCTAAAAA 96 (129 bp) GSTP1 GTGTGTAAGTTTCGGGATCG 97 TCCCCAACGAAACCTAAAAA 98 (132 bp)

Furthermore, instead of the GSTP1 (120 bp) forward primer (SEQ ID No 5), the forward primer according to SEQ ID No 12 is optionally used, and/or instead of the reverse primer (SEQ ID No 6), the reverse primer according to SEQ ID No 13 is used:

SEQ SEQ Target Forward (5′->3′) ID Reverse (5′->3′) ID GSTP1 GTTCGGTTAATATGGT 12 ACCCAAACTAAAATACAAT 13 (171 bp) GAA AAC

This primer pair is particularly preferable when the GSTP1 probes having 4 CpG sites (preferably SEQ ID No 45 and 46 or complementary sequences) are used subsequently in the dPCR, and/or when the GSTP1 probes having 5 CpG sites (preferably SEQ ID No 47 and 48 or complementary sequences) are used.

To further increase the significance of the method according to the invention or its scope of application (other tumours), in a preferred embodiment methylated and unmethylated sequences in the gene(s) AOX-1 (aldehyde oxidase 1, HGNC Acc HGNC 553, Ensembl: ENSG00000138356) and/or SERPINE-1 (serpin peptidase inhibitor, HGNC Ace HGNC 8583, Ensembl: ENSG00000106366) and/or thrombomodulin (HGNC THBD, HGNC 11784, Ensembl: ENSG00000178726) and/or septin-9 (SEPT9, HGNC 7323 Ensembl: ENSG00000184640) are additionally pre-amplified and the methylation of these genes is quantified in step c).

Preferably, the primers for pre-amplifying these targets of interest are selected as follows:

SEQ SEQ Target Forward (5′->3′) ID Reverse (5′->3′) ID AOX1 TGGGTTGGATTTTAGGTTTTAG 14 CTCACCTTACGACCGTTC 15 (180 bp) SERPINE1 AGAGCGTTGTTAAGAAGA 16 CTCCTACCTAAAATTCTCAAAA 17 (123 bp)

Optionally, instead of the AOX1 (180 bp) forward primer (SEQ ID No 14), the forward primer according to SEQ ID No 18 is optionally used, and/or instead of the reverse primer (SEQ ID No 15), the reverse primer according to SEQ ID No 19 is used:

SEQ SEQ Target Forward (5′->3′) ID Reverse (5′->3′) ID AOX1 GTTGGATTTTAGGTTTT 18 GCCCGATCCATTATAAT 19 (138 bp) AGTAAG ATC

This primer pair is particularly preferable when the AOX1 probes having 4 CpG sites (preferably SEQ ID No 39 and 40 or complementary sequences) are used subsequently in the dPCR, and/or when the AOX1 probes having 5 CpG sites (preferably SEQ ID No 41 and 42 or complementary sequences) are used.

For the quantification per dPCR, probes selected from the following sequences are preferably used in step c):

SEQ SEQ Target methylated (5′->3′) ID unmethylated (5′->3′) ID PLA2R1 CCCAACTACTCCGCGACGCAA 20 AACCCAACTACTCCACAACACAAA 21 (3 CpG) PLA2R1 CAACTACTCCGCGACGCAAACG 22 AACCCAACTACTCCACAACACAAACA 23 (4 CpG) RASSF1A CGCCCAACGAATACCAACTCCCG 24 CACCCAACAAATACCAACTCCCACAA 25 (3 CpG) RASSF1A CGCCCAACGAATACCAACTCCCGCG 54 CACCCAACAAATACCAACTCCCACAACTC 55 (4 CpG) GSTP1 CGCAACGAAATATACGCAAC 56 CACAACAAAATATACACAAC 57 (3 CpG) GSTP1 ACGAACTAACGCGCCGAAAC 58 ACAAACTAACACACCAAAAC 59 (4 CpG) GSTP1 CGATCTCGACGACTCACTACAACC 45 CAATCTCAACAACTCACTACAACCTC 46 (3 CpG) GSTP1 CGCGATCTCGACGACTCACTACAA 47 CACAATCTCAACAACTCACTACAACCT 48 (4 CpG)

These are complementary to the coding strand.

Alternatively, each (complementary) template strand can also be quantified either separately or together with the coding strand in one batch. The following (complementary) probes are suitable and preferable for this purpose:

SEQ SEQ Target methylated (5′->3′) ID unmethylated (5′->3′) ID PLA2R1 TTGCGTCGCGGAGTAGTTGGG 60 TTTGTGTTGTGGAGTAGTTGGGTT 26 (3 CpG) PLA2R1 CGTTTGCGTCGCGGAGTAGTTG 27 TGTTTGTGTTGTGGAGTAGTTGGGTT 28 (4 CpG) RASSF1A CGGGAGTTGGTATTCGTTGGGCG 29 TTGTGGGAGTTGGTATTTGTTGGGTG 30 (3 CpG) RASSF1A CGCGGGAGTTGGTATTCGTTGGGCG 31 GAGTTGTGGGAGTTGGTATTTGTTGGGTG 32 (4 CpG) GSTP1 GTTGCGTATATTTCGTTGCG 33 GTTGTGTATATTTTGTTGTG 34 (3 CpG) GSTP1 GTTTCGGCGCGTTAGTTCGT 35 GTTTTGGTGTGTTAGTTTGT 36 (4 CpG) GSTP1 GGTTGTAGTGAGTCGTCGAGATCG 49 GAGGTTGTAGTGAGTCGTCGAGATCG 50 (3 CpG) GSTP1 TTGTAGTGAGTCGTCGAGATCGCG 51 AGGTTGTAGTGAGTCGTCGAGATCGCG 52 (4 CpG)

If methylated and unmethylated sequences of the gene(s) AOX-1 and/or SERPINE-1 are pre-amplified, probes selected from the following sequences and complementary sequences are particularly preferably used in step c) to quantify the methylation of these genes:

SEQ SEQ Target methylated (5′->3′) ID unmethylated (5′->3′) ID AOX1 ACTCGAACGCCCGATCCATTATAA 37 ACAACTCAAACACCCAATCCATTATAA 38 (3 CpG) AOX1 CGCTAATTCGAAAACCCGAAACGA 39 CACTAATTCAAAAACCCAAAACAA 40 (4 CpG) AOX1 CGCGCTAATTCGAAAACCCGAAACGA 41 CACACTAATTCAAAAACCCAAAACAA 42 (5 CpG) SERPINE1 CGATTAACGATTCGTCCTACTCTAACG 43 CAATTAACAATTCATCCTACTCTAACA 44 (4 CpG)

Alternatively or additionally, the following additional primer pairs can be used in step c):

SEQ SEQ Target Forward (5′->3′) ID Reverse (5′->3′) ID RASSF1A GCGTTTGTTAGCGTTTAAAG 61 AACCGAATACGACCCTTC 62 (124 bp) AOX1 GTTGGATTTTAGGTTTTAGTAAG 63 GCCCGATCCATTATAATATC 64 (138 bp) AOX1 GGATTTTAGGTTTTAGTAAGTTTC 65 GCCCGATCCATTATAATATCCG 66 (135 bp) AOX1 GATTTTAGGTTTTAGTAAGTTTCG 67 (134 p) AOX1 TTTTAATTAAGGTTTTTTTCGTCG 99 CCCGATCCATTATAATATCCG 100 (171 p) SERPINE1 CGTTGTTAAGAAGATTTATAC 68 TAAACCCGAAATAAAAAATTAAA 69 (119 bp) TM GGTCGATTCGTATGTTAGA 70 AACCGTACCGAAACAAAA 71 (125 bp) TM GTTTGGGTTGGGACGGATA 72 AAAAACCAAAACCCCAAACA 73 (144 bp) TM GTTTGGGGTTTTGGTTTTTG 74 GCAATCCGTCGCAAATCTAA 75 (166 bp) TM CAATCCGTCGCAAATCTAAC 76 (165 bp) TM TTTGTGTTTTTTTGTTTCGGTAC 101 CACCCGACTACGACTCTACG 102 (160 bp) TM ACCCGACTACGACTCTACGA 103 (159 bp) RASSF1A TTTAGTTTGGATTTTGGGGGA 104 CTAACTTTAAACGCTAACAAA 105 (86 bp) RASSF1A GTTTGGATTTTGGGGGAGC 106 ACTTTAAACGCTAACAAACG 107 (82 bp) RASSF1A TTTGGATTTTGGGGGAGCG 108 CGCTAACTTTAAACGCTAAC 109 (82 bp) RASSF1A TTTAGTTTGGATTTTGGGGGAG 110 CGCTAACTTTAAACGCTAACAAA 111 (86 bp) TM GGTCGATTCGTATGTTAGA 126 AACCGTACCGAAACAAAA 127 (125 bp) TM TAGCGGTAAGAAGTGTTTG 128 (83 bp) TM TACGGTTTTGTCGTAGTG 129 CCCAAACATATTACCCAAAC 130 (70 bp) TM GGAGAGGTTGTCGTTATC 131 CCCAAACATATTACCCAAAC 132 (113 bp) TM ACCCCAAACATATTACCC 133 (115 bp) TM GTCGAGTACGATTGTTTC 134 ACGCACTATCATTAAATAACC 135 (99 bp) TM CGGTGGTTGTCGATGTTA 136 CCGCAACCGAATAACAAC 137 (97 bp) TM TTGCGGGGTTATTTAATG 138 CAACCGAATAACAACTACA 139 (125 bp) Septin-9 GCGATTCGTTGTTTATTAG 140 ATCCGAAATAATCCCATC 141 (72 bp) Septin-9 CGGTTAGTTTTGTATTGTAG 142 (169 bp) Septin-9 CGGGGTTGTTTTGTTTAAG 143 CCAACACCGACAATCAAA 144 (94 bp)

The AOX1 primer pairs (SEQ ID No 63 and 64 or 65 and 66 or 65 and 67 or 99 and 100) are particularly preferable when the AOX1 probes having 4 CpG sites (preferably SEQ ID No 77 and 78 or 79 or complementary sequences) are used subsequently in the dPCR, or when the AOX1 probes having 5 CpG sites (preferably SEQ ID No 112 and 113 or 112 and 114 or complementary sequences) are used.

The thrombomodulin (TM) primer pairs (SEQ ID No 70 and 71 or 72 and 73 or 101 and 102 or 101 and 103) are particularly preferable when the TM probes having 3 CpG sites (preferably SEQ ID No 80 and 81 or complementary sequences) are used subsequently in the dPCR, and the TM primer pairs (SEQ ID No 74 and 75 or 74 and 76) are particularly preferable when the TM probes having 4 CpG sites (preferably SEQ ID No 82 and 83 or complementary sequences) are used.

The thrombomodulin (TM) primer pairs (SEQ ID No 126 and 127 or 127 and 128) are particularly preferable when the TM probes having 3 CpG sites (preferably SEQ ID No 145 and 146 or complementary sequences) are used subsequently in the dPCR, and the TM primer pairs (SEQ ID No 129 and 130 or 131 and 132) are particularly preferable when the TM probes having 5 CpG sites (preferably SEQ ID No 147 and 148 or complementary sequences) are used. The thrombomodulin (TM) primer pairs (SEQ ID No 131 and 133) are particularly preferable when the TM probes having 5 CpG sites (preferably SEQ ID No 149 and 150 or complementary sequences) are used subsequently in the dPCR, the TM primer pairs (SEQ ID No 134 and 135) are particularly preferable when the TM probes having 3 CpG sites (preferably SEQ ID No 151 and 152 or complementary sequences) are used, the TM primer pairs (SEQ ID No 136 and 137) are particularly preferable when the TM probes having 5 CpG sites (preferably SEQ ID No 153 and 154 or complementary sequences) are used, and the TM primer pairs (SEQ ID No 138 and 139) are particularly preferable when the TM probes having 4 CpG sites (preferably SEQ ID No 155 and 156 or 157 and 158 or complementary sequences) are used.

The septin-9 primer pairs (SEQ ID No 140 and 141) are particularly preferable when the TM probes having 4 CpG sites (preferably SEQ ID No 159 and 160 or complementary sequences) are used subsequently in the dPCR, the septin-9 primer pairs (SEQ ID No 141 and 142) are particularly preferable when the TM probes having 4 CpG sites (preferably SEQ ID No 161 and 162 or complementary sequences) are used, and the septin-9 primer pairs (SEQ ID No 143 and 144) are particularly preferable when the TM probes having 2 CpG sites (preferably SEQ ID No 163 and 164 or complementary sequences) are used.

The RASSF1A primer pairs (SEQ ID No 104 and 105 or 106 and 107 or 108 and 109 or 110 and 111) are particularly preferable when the RASSF1A probes having 4 CpG sites (preferably SEQ ID No 115 and 116 or 115 and 117 or 115 and 116 or complementary sequences) are used subsequently in the dPCR.

For the quantification per dPCR, probes selected from the following sequences are preferably used in step c):

SEQ SEQ Target methylated (5′->3′) ID unmethylated (5′->3′) ID AOX1 CGCTAATTCGAAAACCCGAAACGA 77 CACTAATTCAAAAACCCAAAACAA 78 (4 CpG) AOX1 CACTAATTCAAAAACCCAAAACAAAAA 79 (4 CpG) AOX1 CGCGCTAATTCGAAAACCCGAAACGA 112 CACACTAATTCAAAAACCCAAAACAA 113 (5 CpG) AOX1 CACACTAATTCAAAAACCCAAAACAAAAA 114 (5 CpG) RASSF1A CGCGAACCGAACGAAACCAC 115 CACAAACCAAACAAAACCAC 116 (4 CpG) RASSF1A CACAAACCAAACAAAACCACAAA 117 (4 CpG) RASSF1A AAACACAAACCAAACAAAACCACAAA 118 (4 CpG) TM ACGCCGATAACGACAACCTCT 80 AAAAAGCAGATAAAGACAACCTCT 81 (3 CpG) TM CCGACTACGACTCTACGAATACGAA 82 CAGACTAAGACTCTAAGAATAAGAAAAAC 83 (4 CpG) TM ACGCCGATAACGACAACCTCT 145 AAGCAGATAAAGACAACCTCT 146 (3 CpG) TM CGCCGCGTACAAACGCCGAA 147 AGCAGAGTACAAAAGCAGAA 148 (5 CpG) TM AACGCGCCGCGTACAAACGC 149 AAAGAGCAGAGTACAAAAGC 150 (5 CpG) TM CGCAATCCGTCGCAAATCTAACT 151 AGCAATCAGTAGCAAATCTAACT 152 (3 CpG) TM AACGCCGACGACCAACGCCG 153 AAAGCAGAAGACCAAAGCAG 154 (5 CpG) TM AAAACGCCGACGACCAACGC 155 AAAAAGCAGAAGACCAAAGC 156 (4 CpG) TM AAAACGCCGACGACCAACGCC 157 AAAAAGCAGAAGACCAAAGCC 158 (4 CpG) Septin-9 CGTTAACCGCGAAATCCGACATAAT 159 AGTTAACAGAGAAATCAGACATAAT 160 (4 CpG) Septin-9 CGTTAACCGCGAAATCCGACATAATAA 161 AGTTAACAGAGAAATCAGACATAATAA 162 (4 CpG) Septin-9 AAACGCACGCACTCACAAACT 163 AAAAGCAAGCACTCACAAACT 164 (2 CpG)

These are complementary to the coding strand.

Alternatively, each (complementary) template strand can also be quantified either separately or together with the coding strand in one batch. The following (complementary) probes are suitable and preferable for this purpose:

SEQ SEQ Target methylated (5′->3′) ID unmethylated (5′->3′) ID AOX1 TCGTTTCGGGTTTTCGAATTAGCG 84 TTGTTTTGGGTTTTTGAATTAGTG 85 (4 CpG) AOX1 TTTTTGTTTTGGGTTTTTGAATTAGTG 86 (4 CpG) AOX1 TCGTTTCGGGTTTTCGAATTAGCGC 119 TTGTTTTGGGTTTTTGAATTAGTGTG 120 (5 CpG) G AOX1 TTTTTGTTTTGGGTTTTTGAATTAGTGTG 121 (5 CpG) RASSF1A GTGGTTTCGTTCGGTTCGCG 122 GTGGTTTTGTTTGGTTTGTG 123 (4 CpG) RASSF1A TTTGTGGTTTTGTTTGGTTTGTG 124 (4 CpG) RASSF1A TTTGTGGTTTTGTTTGGTTTGTGTTT 125 (4 CpG) TM AGAGGTTGTCGTTATCGGCGT 87 AGAGGTTGTTGTTATTGGTGT 88 (3 CpG) TM TTCGTATTCGTAGAGTCGTAGTCGG 89 TTTGTATTTGTAGAGTTGTAGTTGG 90 (4 CpG) TM AGAGGTTGTCGTTATCGGCGT 165 AGAGGTTGTCTTTATCTGCTT 166 (3 CpG) TM TTCGGCGTTTGTACGCGGCG 167 TTCTGCTTTTGTACTCTGCT 168 (5 CpG) TM GCGTTTGTACGCGGCGCGTT 169 GCTTTTGTACTCTGCTCTTT 170 (5 CpG) TM AGTTAGATTTGCGACGGATTGCG 171 AGTTAGATTTGCTACTGATTGCT 172 (3 CpG) TM CGGCGTTGGTCGTCGGCGTT 173 CTGCTTTGGTCTTCTGCTTT 174 (5 CpG) TM GCGTTGGTCGTCGGCGTTTT 175 GCTTTGGTCTTCTGCTTTTT 176 (4 CpG) TM GGCGTTGGTCGTCGGCGTTTT 177 GGCTTTGGTCTTCTGCTTTTT 178 (4 CpG) Septin-9 ATTATGTCGGATTTCGCGGTTAACG 179 ATTATGTCTGATTTCTCTGTTAACT 180 (4 CpG) Septin-9 TTATTATGTCGGATTTCGCGGTTAA 181 TTATTATGTCTGATTTCTCTGTTAACT 182 (4 CpG) C G Septin-9 AGTTTGTGAGTGCGTGCGTTT 183 AGTTTGTGAGTGCTGCTTTT 184 (2 CpG)

As in the examples, the probes are particularly preferably 5′-FAM-marked (methylated DNA) or 5′-HEX-marked (unmethylated DNA) and marked with the quencher BHQ-1 at the 3′ end.

The object is also achieved by a kit for diagnosing a tumour disease in an isolated sample, containing:

-   i) primers for pre-amplifying methylated and unmethylated DNA     sequences in the genes PLA2R1, RASSF1A and GSTP1 by means of PCR,     each primer being selected such that forward and reverse primers     together comprise up to seven, preferably from two to six,     preferably from one to four, particularly preferably from one to     three, more preferably from three to four, more preferably from four     to five 5′-CG-3′ dinucleotide sequences, -   ii) probes for quantifying the methylated and unmethylated DNA     sequences in the genes PLA2R1, RASSF1A and GSTP1, each preferably     comprising a fluorescent marker and a quencher as described above.

The primers used for the digital PCR are identical to those in the pre-amplification. Alternatively and preferably, the kit also contains the following:

-   iii) primers for the digital PCR for amplifying methylated and     unmethylated DNA sequences in the genes PLA2R1, RASSF1A and GSTP1.

These additional primers are preferably used as intrinsic primers if extrinsic primers (acting as nested primers) were used in the pre-amplification.

The kit preferably contains additional components selected from the following:

-   iv) reaction buffers for the bias-based PCR amplification,     preferably having a magnesium chloride concentration of from 0.5 to     15.0 mmol/l, preferably from 1.5 to 8 mmol/l, more preferably up to     a final concentration of 3.5 mmol/l, particularly preferably of from     2.5 to 3.5 mmol/l, or alternatively a standard PCR buffer and a     concentrated magnesium solution, -   v) reaction buffers for the dPCR, -   vi) deoxyribonucleotide mix, -   vii) a DNA polymerase such as HotStarTaq Plus, -   viii) control DNA, preferably an unmethylated DNA control and a     methylated DNA control, -   ix) instructions for use and optionally analysis software.

Preferably, the primers and probes and the control DNA for the kit are selected as above for the method. This applies in particular to the preferred targets of interest PLA2R1, RASSF1A and GSTP1, but also to the optional additional targets of interest AOX1, SERPINE1, thrombomodulin (TM) and/or septin-9.

DNA isolated from primary cells or cell lines is preferably used as control DNA for the method or kit according to the invention.

Preferably, DNA from cells or cell lines in which the target sequences are not methylated are used as the unmethylated control (negative control). Particularly preferably, DNA from epithelial cells from the healthy tissue corresponding to the tumour is used as the unmethylated DNA control. For example, DNA from human prostate epithelial cells (PrEC) or human mammary epithelial cells (HMEC) is preferably used as the unmethylated control for diagnosing prostate or breast cancer, respectively. Alternatively, DNA from MCF10A cell lines is used as the negative control for detecting breast cancer.

For each target of interest, DNA from a cell line in which the target sequence is homogeneously methylated is preferably selected as the methylated control (positive control) for detecting prostate cancer. DNA from the U937 leukaemia cell line and/or the LNCaP cell line is preferably used for PLA2R1, DNA from the U937 leukaemia cell line and/or the PC-3 cell line is preferably used for RASSF1A, and DNA from the U937 leukaemia cell line, the LNCaP cell line and/or the DU-145 cell line is preferably used for GSTP1. DNA from the DU-145 cell line is preferably used as the positive controls for SERPINE1 and thrombomodulin and/or DNA from the U937 leukaemia cell line and/or PC-3 cell line is preferably used for AOX1. DNA from the LNCaP, PC-3 and DU-145 cell lines is preferably used as the positive controls for septin-9.

To detect breast cancer, DNA from the MCF-7, Cal-51, UACC-812, BT-474, MDA-MB-453 and/or MDA-MB231 cell lines is preferably used as the positive controls.

Alternatively or in addition, DNA in which two out of three or three out of four 5′-CG-3′ dinucleotides are methylated is used as the positive control for heterogeneously methylated epialleles. DNA samples from the BPH-1 cell line in which epialleles have been detected and which are used as a comparison in the differential diagnosis of BPH, prostatitis and prostate cancer are particularly preferably used as controls for identifying and quantifying homogeneously and heterogeneously methylated epialleles. In particular for the genes PLA2R1, RASSF1A and/or GSTP1, DNA from the BPH-1 cell line is preferably used. When testing the benign prostate cell line BPH-1 in comparison with normal prostate epithelial cells (PrEC), the inventors were able to detect heterogeneously methylated DNA fragments, particularly in the targets of interest PLA2R1 and RASSF1A (FIGS. 18 and 19). When using probes having at least 3 CpG sites in their sequences, the heterogeneously methylated epialleles could be distinguished from the homogeneously methylated epialleles and quantified (FIG. 20-29). In this case, it was found that homogeneously methylated epialleles were specific to tumour DNA over heterogeneously methylated epialleles, and that their detection formed the basis for a clear-cut and thus more reliable differential diagnosis of benign and malignant diseases, in particular in the prostate. For this reason, probes containing at least three 5′-CG-3 or 5′-CA-3′ dinucleotides in their sequence are used in the dPCR following pre-amplification. Where these probes did not make it possible in individual cases to distinguish between e.g. benign hyperplasia such as BPH and malignant diseases such as prostate cancer, probes having four, five or more 5′-CG-3′ sites are used, or where this is not possible due to the gene sequences of the targets of interest or the probe design, a plurality of probes each having three 5′-CG-3′ or 5′-CA-3 dinucleotides for the same target of interest are used in the dPCR (step c)) of the method or kit according to the invention. In this way, a more clear-cut distinction is possible between benign and malignant diseases since the presence of a malignant tumour is only associated with the samples in which increased levels of homogeneously methylated epialleles are initially detected and quantified (i.e. four, five or six 5′-CG-3′ are methylated simultaneously). If this specification turns out to be too strict for detecting tumour DNA, resulting in the diagnostic sensitivity being too low, heterogeneously methylated epialleles having a correspondingly high number of methylated CpG sites (i.e. in each case at least two out of three 5′-CG-3′ dinucleotides methylated, or a total of four out of six tested 5′-CG-3′ dinucleotides simultaneously methylated) are preferably quantified and included in the data analysis. As already demonstrated by the inventors' results, heterogeneously methylated epialleles can be quantified when the aforementioned probe sequences are used (FIG. 20-29).

The invention also relates to the use of the kit for carrying out the method according to the invention.

Within the meaning of the invention, the term “tumour diagnosis” in particular includes early screening (precautionary examinations), prognosis, ongoing progress diagnosis, treatment monitoring and the detection of MRD.

In principle, the detection of circulating free tumour DNA using BBPA-dPCR can be used to diagnose any solid tumour, in particular when corresponding target gene sequences are present in bodily fluids or smears (liquid biopsies).

The method and kit according to the invention are particularly suitable for diagnosing malignant tumours such as cancers of the prostate, breast, renal cells, efferent urinary tract and bladder, pancreas, testicles, oral cavity and pharynx, gullet, larynx, thyroid, stomach, oesophagus, gut (in particular colorectal cancer), lungs, ovaries, cervix and uterus, gall bladder, malignant melanoma of the skin, astrocytoma, glioblastoma and neuroblastoma, as well as for diagnosing non-Hodgkin's lymphoma and Hodgkin's lymphoma, lymphoma of the skin, CNS, GI tract, stomach and intestinal lymphoma, and leukaemia.

In general, a preferred possible use of the method and kit is in the early detection (independent screening or precautionary examinations) of malignant diseases (including the diseases mentioned above), but in particular in combination with PSA determination and the indication for a tissue biopsy in the event of elevated PSA values and the diagnosis of prostate cancer, or in combination with mammograms and suspicious findings when diagnosing breast cancer, or in combination with the presence of a gene mutation entailing a higher family risk for breast or ovarian cancer, and the decision to opt for a prophylactic mastectomy and/or ovariectomy.

In one embodiment of the invention, screening or precautionary examinations are carried out on the basis of pooled samples, e.g. serum or plasma samples, by combining DNA sample material from e.g. 10 and 100 subjects/patients in a pool and first testing the 100-subject pool. If tumour DNA is identified in a pool of 100 subjects/patients, the samples from the 10-subject pool produced at the same time are analysed for the corresponding subjects/patient samples. If tumour DNA is detectable in one or more of these 10-subject pool samples, the individual samples are analysed. If no tumour DNA can be identified in the 100-subject pool samples, the 10-subject pool samples and individual samples are not tested. This means that a large number of samples can be screened for the presence of tumour DNA since the clear-cut amplification effect in the BBPA-dPCR method allows individual tumour DNA molecules to be detected, regardless of the concentration of background DNA.

If a tumour disease has been diagnosed, the progress of the disease can be monitored by identifying tumour DNA by means of BBPA-dPCR following surgery, chemotherapy or radiotherapy, and the presence of a minimal residual disease (MRD) can be diagnosed or ruled out. If no tumour DNA can be detected following treatment, this implies a good response to the treatment and an MRD can be ruled out. If tumour DNA can still be detected, this may indicate a need to optimise the treatment. If tumour DNA can be detected during the course of treatment when this was not the case previously, this implies a recurrence, which indicates the need to optimise the treatment again.

Advantageously, the method and kit according to the invention are particularly suitable for the differential diagnosis of benign diseases and malignant tumour diseases. The invention is most particularly suitable for the differential diagnosis of benign prostatic hyperplasia, prostatitis and prostate cancer, in particular when a prostate tissue biopsy has been indicated in line with the prior art due to elevated PSA values. Owing to the detection according to the invention of the methylation of PLA2R1, RASSF1A and GSTP1 (and optionally of AOX1, SERPINE1, thrombomodulin and/or septin-9) by means of the BBPA-dPCR, it is possible to determine the extent to which fcT-DNA can be detected in serum, plasma, urine and/or seminal fluid. On the basis of the determined methylation level, a distinction can be drawn between a benign prostatic hyperplasia, prostatitis and prostate cancer, and so unnecessary prostate tissue biopsies and operations can be prevented in many cases. If no tumour DNA can be found in e.g. a serum, plasma or urine sample by means of BBPA-dPCR, an additional PSA determination can be deferred (e.g. for three or six months). However, if there is tumour DNA detectable in the samples, a tissue biopsy is more strongly indicated.

Advantageously, the method and kit according to the invention are also particularly suitable for the differential diagnosis of breast cancer, in particular if a tissue biopsy is indicated on the basis of suspicious mammogram findings in line with the current prior art. Owing to the detection according to the invention of the methylation of PLA2R1, RASSF1A and GSTP1 (and optionally of AOX1, SERPINE1, thrombomodulin and/or septin-9) by means of the BBPA-dPCR, it is possible to determine the extent to which fcT-DNA can be detected in serum, plasma, urine and/or nipple secretions. On the basis of the determined methylation level, a distinction can be drawn between a benign microcalcification or cysts, and breast cancer, and so unnecessary tissue biopsies and operations can be prevented in many cases in the event of false-positive findings from the mammogram screening. Around two thirds of all women who begin annual mammograms from the age of 40 will be given false-positive results within the first ten years. An unnecessary biopsy is carried out in 7% of those cases [20]. Moreover, the method and corresponding kit according to the invention can reduce false-positive results in mammogram screenings.

The method and kit according to the invention are also suitable for the differential diagnosis of ovarian cancer, in particular when suspicious ultrasound findings indicate either a benign change, such as cysts, or ovarian cancer and further invasive diagnostic procedures according to the current prior art should be carried out.

In addition, in cases of a pathological gene mutation entailing a higher family risk for breast and ovarian cancer, e.g. in the BRCA1 and BRCA2 genes, the method and kit according to the invention are suitable as an additional decision-making tool as regards opting for a prophylactic mastectomy and/or ovariectomy, in particular if the patient in question is still planning a family.

The method according to the invention creates new possibilities in the diagnosis of tumour diseases, in particular in early diagnosis, since the method copies individual cf-tumour DNA copies in a suitably specific manner against a large background of normal wild-type DNA in the blood, urine or other biological samples before the subsequent quantification in the dPCR.

Even if the bias introduced leads to a change to the original ratio between methylated DNA fragments (as a sign of a malignant degeneration) and normal unmethylated wild-type DNA, the data determined by means of the BBPA-dPCR can be used for prognosis estimations (tumour load), the response to treatment (drop in fcT-DNA or constant fcT-DNA), detecting a minimal residual disease and tumour patient after-care (recurrence due to fcT-DNA increasing again). This is based on the fact that the degree of bias can be set variably in the method according to the invention by selecting the annealing temperature, magnesium concentration in the reaction buffer and the number of cycles, and that the bias is the same among the individual samples being tested when the conditions are constant, meaning that relative quantification is possible.

Another advantage of bias-inducing oligonucleotides (BIP) compared with methyl-specific oligonucleotides (MSP) is that the number of normal wild-type DNA fragments can be used as an internal control. In addition, using a primer pair that allows methylated and unmethylated DNA sequences to be simultaneously quantified prevents false results as a result of different portions of target of interest fragments and internal control gene fragments, such as ALU sequences.

The invention also relates to the primers according to sequences 1 to 19, 53, 61 to 76, 91 to 111, and 126 to 144, and to the nucleic acid probes according to sequences 20 to 52, 54 to 60, 77 to 90, 112 to 125, and 145 to 184, and to the use thereof for the aforementioned purposes.

The invention will be described in more detail on the basis of the following drawings and examples, without being limited thereto.

BRIEF DESCRIPTION OF THE DRAWING FIGURES Reference to a Sequence Listing

This application contains a sequence listing in computer readable form; the file, 4008016A_SequenceListing.txt is 39 kb in size. The file is hereby incorporated into the instant disclosure.

Submitted herewith is a substitute sequence listing in computer readable form (text file 4008016A_SequenceListing.txt) for entry into the present application.

In the drawings:

FIG. 1 is an outline of the preferred implementation of the BBPA-dPCR according to the invention.

FIG. 2 shows the number of copies of methylated (methyl) and unmethylated (unmethyl) RASSF1A sequences plotted against annealing temperature for 30 cycles and at an MgCl₂ concentration of 2.5 mmol/l in the BBPA in serum pool samples from healthy subjects (BA) or female breast cancer patients (breast-CA; see also Table 2).

FIG. 3 shows the number of copies of methylated (methyl) and unmethylated (unmethyl) RASSF1A sequences plotted against cycle number (0 [i.e. no BBPA], 8, 12 and 16) at 60° C. and an MgCl₂ concentration of 2.5 mmol/l in the BBPA in serum pool samples from healthy subjects (BA) or female breast cancer patients (breast-CA; see also Table 3).

FIG. 4 shows the number of copies of methylated (methyl) and unmethylated (unmethyl) RASSF1A sequences plotted against cycle number (0 [i.e. no BBPA], 8, 12, 16 [see FIG. 3 above] and 40) at 60° C. and an MgCl₂ concentration of 2.5 mmol/l in the BBPA in serum pool samples from healthy subjects (BA) or female breast cancer patients (breast-CA; see also Table 3).

FIG. 5 (comparative data) shows the number of FAM-positive (top image) and HEX-positive (bottom image) signals for methylated and unmethylated RASSF1A sequences in dPCR without BBPA in serum sample pools from healthy subjects (BA) and female breast cancer patients (breast-CA). NTC, non-template control (no DNA). Solid arrows show two FAM-positive signals in the serum pool sample from female breast-CA patients; the empty arrows denote FAM-positive signals whose fluorescence intensity occurred in the serum pool sample from healthy subjects and in female breast-CA patients. In the bottom image, the HEX-positive signals for unmethylated RASSF1A sequences in the serum pool samples from healthy female subjects and female breast-CA patients can be seen above the threshold line; these signals are not found in the NTC samples or FAM-positive signals. Below the threshold lines, the signals from the double-negative droplets are shown. The pool samples BA and breast-CA are identical to the samples tested in FIG. 2-4.

FIG. 6 (comparative data) shows the MS-HRM analysis of the RASSF1A methylation level in the serum pool from healthy female subjects (empty arrow) and subjects with breast cancer (solid arrow) by means of melting curve analysis, in which no methylated proportions could be identified. Broken lines: standard DNA samples having unmethylated (0%) and methylated (100%) DNA. The pool samples BA and breast-CA are identical to the samples tested in FIG. 2-4.

FIG. 7 (comparative data) shows the relative frequency (y-axis in %) of methylated RASSF1A sequences in cfDNA samples from serum of healthy female subjects (K1-K10, left) and female breast-CA patients (P1-P10, right) following dPCR without BBPA. In addition to the medians, the Poisson variation ranges are shown. The empty arrows show 4 out of 10 samples from female breast cancer patients correctly identified as being pathological.

FIG. 8 shows the relative frequency (y-axis in %) of methylated RASSF1A sequences in cfDNA samples from serum of healthy female subjects (K1-K10, left) and female breast-CA patients (P1-P10, right) following BBPA-dPCR (15 cycles at 52° C. and an MgCl₂ concentration of 2.5 mmol/l, undiluted in the subsequent dPCR). To the left, the solid arrows show the values for the samples K1-K10 from the healthy subjects, and to the right they show two samples (P5 and P9) for which elevated RASSF1A methylation was not identified. The empty arrows show 8 out of 10 samples from female breast-CA patients for which a correct positive value was identified. The results of the BBPA-dPCR and MS-HRM analysis are compiled in Table 7.

FIG. 9 (comparative data) shows the methylation level of RASSF1A sequences in cfDNA samples from serum of healthy female subjects (K1-K10, Table 7) and breast-CA patients (P1-P10, Table 7) following the MS-HRM analysis. The arrows in C and D show the samples K8 and K9, which showed weak positive methylation levels in the MS-HRM but clearly negative results in the BBPA-dPCR (see FIG. 8). The sample P1, with which a considerably elevated RASSF1A methylation level was associated in the BBPA-dPCR (FIG. 8), produced a seemingly negative result in the MS-HRM (E and F). A, C and E: relative signal changes in relation to the 0% DNA standard; B, D and F: melting curve characteristic of MS-HRM amplified material in relation to the 0% and 100% DNA standards. The results of the MS-HRM and BBPA-dPCR analyses are compiled in Table 7.

FIG. 10 shows the determination of the methylation level of the PLA2R1 gene (y-axis in %) in cfDNA samples from serum of healthy subjects (K1-K10) and prostate cancer patients (P1-P10) by means BBPA-dPCR (35 cycles at 59° C., an MgCl₂ concentration of 2.5 mmol/l and 1:10⁴ dilution followed by dPCR). In the samples K10 and P3, for which no values are shown, the methylation level was 0% in both cases.

FIG. 11 shows the determination of the methylation level of the RASSF1A gene (y-axis in %) in cfDNA samples from serum of healthy subjects (K1-K10) and PCa patients (P1-P10) by means of BBPA-dPCR (50 cycles at 59° C., an MgCl₂ concentration of 2.5 mmol/l and 1:10⁴ dilution followed by dPCR). In the samples K2-K5, K8, K9 and P8, for which no values are shown, the methylation level was 0% in each case.

FIG. 12 shows the determination of the methylation level of the GSTP1 gene (y-axis in %) in cfDNA samples from serum of healthy subjects (K11-K20) and prostate cancer patients (P11-P19) by means of BBPA-dPCR analysis (35 cycles at 57° C., an MgCl₂ concentration of 2.5 mmol/l and 1:25×10³ dilution followed by dPCR at 51.9° C.). In the samples K12, K12, K16 and K19, for which no values are shown, the methylation level was 0% in each case.

FIG. 13 is a 2D view of the FAM-positive signals (methylated DNA sequences, y-axis) and HEX-positive signals (unmethylated DNA sequences, x-axis) of the GSTP1 gene in cfDNA samples from serum of healthy subjects (K1-K7, K9 and K10, in A) and of prostate cancer patients (P1 in B, P3 in C and P6 in D; see also Table 8) by means of BBPA-dPCR (35 cycles at 57° C., an MgCl₂ concentration of 2.5 mmol/l and 1:25×10³ dilution in the subsequent dPCR at 51.9° C.). The arrows show the positive droplets that did not occur in the samples from healthy subjects (see A).

FIG. 14 shows the ROC analysis of the methylation levels of the PLA2R1, RASSF1A and GSTP1 genes, determined by means of BBPA-dPCR, alone and in combination with the test on cfDNA samples from serum of healthy subjects and prostate cancer patients (the individual results are compiled in Table 8).

FIG. 15 shows the determination of the methylation level of the PLA2R1 gene (y-axis in %) in cfDNA samples from serum of patients having PSA values between 3.5 and 15.0 ng/ml (exception: sample M2 with a PSA value of 3115 ng/ml) by means of BBPA-dPCR (15 cycles at 59° C. and an MgCl₂ concentration of 2.5 mmol/l in the BBPA, and used undiluted in the dPCR at 58.8° C.). In addition to the medians, the Poisson variation ranges are shown. In the sample M15, for which no value is shown, the methylation level was 0%.

FIG. 16 shows the determination of the methylation level of the GSTP1 gene (y-axis in %) in cfDNA samples from serum of patients having PSA values between 3.5 and 15.0 ng/ml (exception: sample M2 with a PSA value of 3115 ng/ml) by means of BBPA-dPCR (15 cycles at 57° C. and an MgCl₂ concentration of 2.5 mmol/l in the BBPA, and used undiluted in the dPCR at 51.9° C.). In addition to the medians, the Poisson variation ranges are shown. In the sample M10, for which no value is shown, the methylation level was 0%.

FIG. 17 shows the relative frequency of methylated PLA2R1 sequences (y-axis in %) in cfDNA samples from serum of healthy subjects (K11-K18) and renal cell cancer patients (N1-N10) following BBPA-dPCR (15 cycles at 59° C. and an MgCl₂ concentration of 2.5 mmol/l, undiluted in dPCR at 58.8° C.). In addition to the medians, the Poisson variation ranges are shown. In the samples K11, K13-K18, N5 and N9, for which no values are shown, the methylation level was 0%.

FIG. 18 (comparative data) shows FAM signals (top) for methylated PLA2R1 sequences and HEX signals (bottom) for unmethylated PLA2R1 sequences in DNA samples from PrEC, BPH-1, LNCaP, PC-3, DU-145 and U937 cell lines and non-template control (no DNA present, NTC). The bisulphite-converted DNA was quantified in the dPCR without BBPA in 40 cycles at 58.8° C. The narrow arrow shows the heterogeneously methylated epialleles that could be detected by way of mismatch in the BPH-1 cells and were also detectable in LNCaP, PC-3 and DU-145 cells. Compare this with the homogeneously methylated epialleles in the tumour cell lines LNCaP, PC-3, DU-145 and U937 (thick arrow).

FIG. 19 (comparative data) shows FAM signals (top) for methylated RASSF1A sequences and HEX signals (bottom) for unmethylated RASSF1A sequences in DNA samples from PrEC, BPH-1, LNCaP, PC-3 and DU-145 cell lines, NTC (non-template control) and gDNA (genomic DNA control without bisulphite conversion). The bisulphite-converted DNA was quantified in the dPCR without BBPA in 40 cycles at 51.9° C. The narrow arrow shows one copy of a homogeneously methylated RASSF1A sequence in the PrEC and the thick arrow shows the numerous copies of homogeneously methylated RASSF1A sequences in the BPH-1, LNCaP, PC-3 and DU-145 cell lines. The homogeneously methylated epialleles can be quantified by the heterogeneously methylated epialleles that can be detected by way of mismatch, in particular by adjusting the thresholds accordingly (see FIG. 20 below).

FIG. 20 shows the number of copies of methylated and unmethylated RASSF1A sequences (top image, y-axis=number of results) and the relative frequency (y-axis in %) of homogeneously methylated RASSF1A sequences (bottom image) in PrEC, BPH-1, LNCaP, PC-3 and DU-145 cells. Top image: number of positive signals for homogeneously methylated and unmethylated copies as follows: in PrEC: 1/106; BPH-1: 47/89; LNCaP: 1397/12; PC-3: 1855/9, DU-145: 825/175, NTC (non-template control): 0/0 and gDNA (genomic DNA): 0/1. Bottom image: in addition to the medians, the Poisson variation ranges are shown. The relative homogeneous RASSF1A epiallele methylation was as follows: PrEC 0.9%, BPH-1: 35.0%, LNCaP: 99.2%, PC-3: 99.6%, DU-145: 83.0%, NTC: 0% and gDNA: 0%.

FIG. 21 shows the abundance of FAM-positive (methylated, top image) and HEX-positive (unmethylated, lower image) SERPINE1 sequences in PrEC, BPH-1, LNCaP (LN), PC-3 and DU-145 (DU) cells, in 0% and 100% DNA standards (Qiagen GmbH), and in NTC (non-template control). The thin arrow shows the main fraction of heterogeneously methylated epialleles (three out of four CpG sites methylated) in the DU-145 cell line compared with the homogeneously methylated DNA sequences in the 100% DNA standard (thick arrow). In PrEC and BPH-1, there were no 2, 3 or 4-times methylated epialleles, unlike in the malignant LNCaP, PC-3 and DU-145 cells, which were quantifiable accordingly (see FIG. 22).

FIG. 22 in the top image shows signal frequencies (y-axis=number of events) for methylated and unmethylated SERPINE1 sequences in PrEC (0 methylated/74 unmethylated), BPH-1 (0/270), LNCaP (404/123), PC-3 (382/1241), DU-145 (1295/1), 0% DNA standard (0/947), 100% DNA standard (827/6) and non-template control (NTC: 0/1). The arrows show the undetectable copies of methylated SERPINE1 sequences in PrEC and the BPH-1 cell line. In the bottom image, the figure shows the relative frequency (y-axis in %) of all, i.e. both homogeneously and heterogeneously methylated epialleles of the SERPINE1 gene in PrEC (0%), BPH-1 (0%), LNCaP (77%), PC-3 (22.6%), DU-145 (99.93%), 0% DNA standard (0%), 100% DNA standard (99.3%) and NTC: 0%. The arrows show the 0% methylated SERPINE1 sequences in PrEC and the BPH-1 cell line.

FIG. 23 shows the abundance of methylated (top image) and unmethylated (lower image) GSTP1 sequences in PrEC, BPH-1, LNCaP (LN), PC-3 and DU-145 (DU) cells, in 0% and 100% DNA standards and in NTC (non-template control). The thin arrows show heterogeneously methylated epialleles (one out of three CpG sites methylated) in PrEC and BPH-1, in contrast to the largely homogeneously 3-times methylated epialleles in LNCaP cells (thick arrow) and 2-times heterogeneously methylated alleles in PC-3 cells (second vertical thick arrow).

FIG. 24 in the top image shows signal frequencies (y-axis=number of events) for methylated and unmethylated GSTP1 sequences in PrEC (3 methylated/138 unmethylated), BPH-1 (8/532), LNCaP (1777/22), PC-3 (987/2460), DU-145 (490/1947) 0% DNA standard (1/279), 100% DNA standard (200/37) and non-template control (NTC: 0/0). In the bottom image, the drawing shows the relative frequency (y-axis in %) of methylated GSTP1 sequences in PrEC (2.1%), BPH-1 (1.4%), LNCaP (98.84%), PC-3 (27.5%), DU-145 (19.2%), 0% DNA standard (0.4%), 100% DNA standard (84.5%) and NTC (0%).

FIG. 25 is a 2D view of the FAM-positive and HEX-positive signals when determining the GSTP1 methylation (see also FIG. 23). In the top image, two populations of droplets having homogeneously (top fraction) and heterogeneously (lower fraction, two out of three CpG sites methylated) methylated epialleles are clearly visible (thick arrows). In the bottom image, where only these two populations of droplets having homogeneously (top fraction) and heterogeneously (lower fraction, two out of three CpG sites methylated) methylated epialleles are quantified (see dividing line in top and bottom image), there are no methylated GSTP1 sequences at all in PrEC and BPH-1 cells.

FIG. 26 in the top image shows signal frequencies (y-axis=number of events), resulting in the following positive FAM and HEX signals for methylated and unmethylated GSTP1 sequences: in PrEC (0/141), BPH-1 (0/534), LNCaP (1488/22), PC-3 (682/2515), DU145 (312/1982) 0% DNA standard (1/295), 100% DNA standard (155/46) and NTC (0/0). In the bottom image, the drawing shows relative frequencies (y-axis in %) of methylated GSTP1 sequences in PrEC (0%), BPH-1 (0%), LNCaP (98.6%), PC-3 (20.2%), DU-145 (12.9%), 0% DNA standard (0.3%), 100% DNA standard (77%) and NTC (0%). By comparison, the relative frequency was 2.1% for PrEC and 1.4% for BPH-1 cells at the corresponding threshold in FIGS. 23 and 24. For GSTP1, the 100% DNA standard is only 77% methylated, as already seen in FIG. 25 (bottom image, highlighted by two thick arrows).

FIG. 27 is a 2D view of the FAM-positive and HEX-positive signals when determining the PLA2R1 methylation in serum samples from healthy subjects (K1-K20) and prostate cancer patients (P1-P40) after 15 BBPA cycles at 59° C. and an MgCl₂ concentration of 2.5 mM, followed by dPCR. The thresholds for the FAM-positive and HEX-positive signals were set such that all three fractions of FAM-positive homogeneously and heterogeneously methylated PLA2R1 epialleles highlighted with arrows were included in the calculations (Table 12).

FIG. 28 is a 2D view of the FAM-positive and HEX-positive signals when determining the PLA2R1 methylation in serum samples from healthy subjects (K1-K20) and prostate cancer patients (P1-P40) after 15 BBPA cycles at 59° C. and an MgCl₂ concentration of 2.5 mM, followed by dPCR. The thresholds for the FAM-positive and HEX-positive signals were set such that only the fractions of FAM-positive homogeneously methylated PLA2R1 epialleles highlighted with arrows were included in the calculations (Table 12).

FIG. 29 is a 2D view of the FAM-positive and HEX-positive signals when determining the PLA2R1 methylation in serum samples from healthy subjects (K1-K20) and prostate cancer patients (P1-P40) after 15 BBPA cycles at 59° C. and an MgCl₂ concentration of 2.5 mM, followed by dPCR. The thresholds for the FAM-positive and HEX-positive signals were set such that only two fractions of FAM-positive homogeneously and heterogeneously (two out of three CpG sites) methylated PLA2R1 epialleles highlighted with arrows were included in the calculations (Table 12).

FIG. 30 shows the number of FAM-positive signals for methylated PLA2R1 sequences without BBPA (comparative data) and after 50 BBPA cycles at 63.0° C. and an MgCl₂ concentration of 2.5 mmol/l in normal prostate epithelial cells (PrEC), the benign prostatic hyperplasia cell line (BPH-1) and malignant prostate cancer cell lines (LNCaP, PC-3 and DU-145). The empty arrows show positive signals in DNA samples from PrEC and BPH-1 without BBPA compared with after BBPA; solid arrows show positive signals in DNA samples from LNCaP, PC-3 and DU-145 before and after BBPA; the star shows the threshold between negative and positive FAM signals.

FIG. 31 shows the number of copies (y-axis) of methylated (methyl) and unmethylated (unmethyl) PLA2R1 sequences without BBPA (comparative data) and after BBPA for 15, 30, 40 and 50 cycles at 63.0° C. and an MgCl₂ concentration of 2.5 mmol/l in normal prostate epithelial cells (PrEC), the benign prostatic hyperplasia cell line (BPH-1) and malignant prostate cancer cell lines (LNCaP, PC-3 and DU-145). Following BBPA, 1 μl of the 25 μl PCR batches was introduced into the dPCR. To compare the number of copies with those without BBPA, the copies without BBPA were multiplied by 25.

FIG. 32 shows the number of FAM-positive (y-axis, methylated) and HEX-positive (x-axis, unmethylated) signals for PLA2R1 sequences after 50 BBPA cycles at 63.0° C. and an MgCl₂ concentration of 2.5 mmol/l in normal prostate epithelial cells (PrEC), the benign prostatic hyperplasia cell line (BPH-1) and malignant prostate cancer cell lines (LNCaP, PC-3 and DU-145). The arrows show the scatter plots for the PrEC, BPH-1 LNCaP, PC-3 and DU-145 cell lines, and the non-template control (no DNA, NTC). The NTC are highlighted by the lower arrow having no description, and the individual values are compiled in Table 20.

FIG. 33 shows the number of FAM-positive (y-axis, methylated) and HEX-positive (x-axis, unmethylated) signals for PLA2R1 sequences after 50 BBPA cycles at 63.0° C. in normal prostate epithelial cells (PrEC), the benign prostatic hyperplasia cell line (BPH-1) and malignant prostate cancer cell lines (LNCaP, PC-3 and DU-145). The arrows show the scatter plots for the PrEC, BPH-1, LNCaP, PC-3 and DU-145 cell lines. Unlike in FIG. 29, the non-template control is not shown, thereby demonstrating that none of the samples contained any double-negative droplets once in the dPCR. The individual values are compiled in Table 20.

FIG. 34 shows the number of copies of methylated (solid circles) and unmethylated (empty circles) PLA2R1 DNA fragments after 16 pre-amplification cycles at increasing annealing temperatures (50-63° C.) as a function of MgCl₂ concentration (from 1.5 mmol/l to 8.0 mmol/l) using the primer pair 168 bp (SEQ ID: 1 and 2), and subsequent dPCR.

FIG. 35 shows the number of copies of methylated (solid circles) and unmethylated (empty circles) PLA2R1 DNA fragments after 16 pre-amplification cycles at increasing annealing temperatures (50-63° C.) as a function of MgCl₂ concentration (from 1.5 mmol/l to 8.0 mmol/l) using the primer pair 161 bp (SEQ ID: 53 and 10), and subsequent dPCR.

FIG. 36 shows the number of copies of methylated (solid circles) and unmethylated (empty circles) PLA2R1 DNA fragments after 16 pre-amplification cycles at increasing annealing temperatures (50-63° C.) as a function of MgCl₂ concentration (from 1.5 mmol/l to 8.0 mmol/l) using the primer pair 150 bp (SEQ ID: 53 and 9), and subsequent dPCR.

FIG. 37 shows the number of copies of methylated (solid circles) and unmethylated (empty circles) PLA2R1 DNA fragments after 16 pre-amplification cycles at increasing annealing temperatures (50-63° C.) as a function of MgCl₂ concentration (from 1.5 mmol/l to 8.0 mmol/l) using the primer pair 133 bp (SEQ ID: 7 and 8), and subsequent dPCR.

FIG. 38 shows FAM signals (methylated PLA2R1 DNA fragments [top image]) and HEX signals (unmethylated PLA2R1 DNA fragments [bottom image]) after 15 pre-amplification cycles (left of the divider) and 50 pre-amplification cycles (right of the divider) in samples having 3000 (trace 1), 20 (trace 2), 10 (trace 3), 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, each having a proportion of 70,000 copies of unmethylated PLA2R1 DNA fragments, using the primer pair 133 bp (SEQ ID: 7 and 8) at an MgCl₂ concentration of 6.0 mM and an annealing temperature of 63° C. NTC: non-template negative control. The raw data is set out in Tables 28 and 30.

FIG. 39 shows the number of positive droplets after 15 pre-amplification cycles (left of the divider) and 50 pre-amplification cycles (right of the divider) in samples having 3000 (trace 1), 20 (trace 2), 10 (trace 3), 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, each having a proportion of 70,000 copies of unmethylated PLA2R1 DNA fragments, using the primer pair 133 bp (SEQ ID: 7 and 8) at an MgCl₂ concentration of 6.0 mmol/l and an annealing temperature of 63° C. NTC: non-template negative control. The raw data is set out in Tables 28 and 30.

FIG. 40 shows FAM signals (methylated PLA2R1 DNA fragments [top image]) and HEX signals (unmethylated PLA2R1 DNA fragments [bottom image]) after 15 pre-amplification cycles (left of the divider) and 50 pre-amplification cycles (right of the divider) in samples having 3000 (trace 1), 20 (trace 2), 10 (trace 3), 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, each having a proportion of 175,000 copies of unmethylated PLA2R1 DNA fragments, using the primer pair 133 bp (SEQ ID: 7 and 8) at an MgCl₂ concentration of 6.0 mmol/l and an annealing temperature of 63° C. NTC: non-template negative control. The raw data is set out in Tables 28 and 30.

FIG. 41 shows the number of positive droplets after 15 pre-amplification cycles (left of the divider) and 50 pre-amplification cycles (right of the divider) in samples having 3000 (trace 1), 20 (trace 2), 10 (trace 3), 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, each having a proportion of 175,000 copies of unmethylated PLA2R1 DNA fragments, using the primer pair 133 bp (SEQ ID: 7 and 8) at an MgCl₂ concentration of 6.0 mmol/l and an annealing temperature of 63° C. NTC: non-template negative control. The raw data is set out in Tables 28 and 30.

FIG. 42 shows FAM signals (methylated PLA2R1 DNA fragments [top image]) and HEX signals (unmethylated PLA2R1 DNA fragments [bottom image]) after 15 pre-amplification cycles (left of the divider) and 50 pre-amplification cycles (right of the divider) in samples having 3000 (trace 1), 20 (trace 2), 10 (trace 3), 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, each having a proportion of 350,000 copies of unmethylated PLA2R1 DNA fragments, using the primer pair 133 bp (SEQ ID: 7 and 8) at an MgCl₂ concentration of 6.0 mmol/l and an annealing temperature of 63° C. NTC: non-template negative control. The raw data is set out in Tables 28 and 30.

FIG. 43 shows the number of positive droplets after 15 pre-amplification cycles (left of the divider) and 50 pre-amplification cycles (right of the divider) in samples having 3000 (trace 1), 20 (trace 2), 10 (trace 3), 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, each having a proportion of 350,000 copies of unmethylated PLA2R1 DNA fragments, using the primer pair 133 bp (SEQ ID: 7 and 8) at an MgCl₂ concentration of 6.0 mmol/l and an annealing temperature of 63° C. NTC: non-template negative control. The raw data is set out in Tables 28 and 30.

FIG. 44 shows FAM signals (methylated PLA2R1 DNA fragments [top image]) and HEX signals (unmethylated PLA2R1 DNA fragments [bottom image]) after 15 pre-amplification cycles (left of the divider) and 50 pre-amplification cycles (right of the divider) in samples having 3000 (trace 1), 20 (trace 2), 10 (trace 3), 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, each having a proportion of 700,000 copies of unmethylated PLA2R1 DNA fragments, using the primer pair 133 bp (SEQ ID: 7 and 8) at an MgCl₂ concentration of 6.0 mM and an annealing temperature of 63° C. NTC: non-template negative control. The raw data is set out in Tables 28 and 30.

FIG. 45 shows the number of positive droplets after 15 pre-amplification cycles (left of the divider) and 50 pre-amplification cycles (right of the divider) in samples having 3000 (trace 1), 20 (trace 2), 10 (trace 3), 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, each having a proportion of 700,000 copies of unmethylated PLA2R1 DNA fragments, using the primer pair 133 bp (SEQ ID: 7 and 8) at an MgCl₂ concentration of 6.0 mmol/l and an annealing temperature of 63° C. NTC: non-template negative control. The raw data is set out in Tables 28 and 30.

FIG. 46 shows FAM signals (methylated PLA2R1 DNA fragments, top image) and HEX signals (unmethylated PLA2R1 DNA fragments, bottom image) from normal PrEC (position 1), benign BPH cells (position 2), malignant LNCaP (position 3), PC-3 (position 4) and DU-145 cells (position 5) after 50 pre-amplification cycles at an MgCl₂ concentration of 2.5 mM and increasing annealing temperatures (50-63° C.) using the primer pair 168 bp (SEQ ID: 1 and 2), and subsequent dPCR. The arrows show the development of the FAM and HEX signals as a function of the annealing temperature for PC-3 cells.

FIG. 47 shows FAM signals (methylated PLA2R1 DNA fragments, top image) and HEX signals (unmethylated PLA2R1 DNA fragments, bottom image) from normal PrEC (position 1), benign BPH cells (position 2), malignant LNCaP (position 3), PC-3 (position 4) and DU-145 cells (position 5) after 50 pre-amplification cycles at an MgCl₂ concentration of 2.5 mmol/l and increasing annealing temperatures (50-63° C.) using the primer pair 161 bp (SEQ ID: 53 and 10), and subsequent dPCR. The arrows show the development of the FAM and HEX signals as a function of the annealing temperature for PC-3 cells.

FIG. 48 shows FAM signals (methylated PLA2R1 DNA fragments, top image) and HEX signals (unmethylated PLA2R1 DNA fragments, bottom image) from normal PrEC (position 1), benign BPH cells (position 2), malignant LNCaP (position 3), PC-3 (position 4) and DU-145 cells (position 5) after 50 pre-amplification cycles at an MgCl₂ concentration of 2.5 mmol/l and increasing annealing temperatures (50-63° C.) using the primer pair 150 bp (SEQ ID: 53 and 9), and subsequent dPCR. The arrows show the development of the FAM and HEX signals as a function of the annealing temperature for PC-3 cells.

FIG. 49 shows FAM signals (methylated PLA2R1 DNA fragments, top image) and HEX signals (unmethylated PLA2R1 DNA fragments, bottom image) from normal PrEC (position 1), benign BPH cells (position 2), malignant LNCaP (position 3), PC-3 (position 4) and DU-145 cells (position 5) after 50 pre-amplification cycles at an MgCl₂ concentration of 2.5 mmol/l and increasing annealing temperatures (50-63° C.) using the primer pair 133 bp (SEQ ID: 7 and 8), and subsequent dPCR. The arrows show the development of the FAM signals up to 52.6° C. for the PC-3 cells and above 52.6° C. for PrEC and BPH-1.

FIG. 50 shows FAM signals (methylated GSPT1 DNA fragments, top image) and HEX signals (unmethylated GSPT1 DNA fragments, bottom image) from normal PrEC (position 1), benign BPH cells (position 2), malignant LNCaP (position 3), PC-3 (position 4) and DU-145 cells (position 5) after 50 pre-amplification cycles at an MgCl₂ concentration of 2.5 mmol/l and increasing annealing temperatures (50-63° C.) using the primer pair 120 bp (SEQ ID: 5 and 6), and subsequent dPCR. The arrows show the development of the FAM signals up to 60.8° C. for the PC-3 cells and above 60.8° C. for PrEC and BPH-1.

FIG. 51 shows FAM signals (methylated GSTP1 DNA fragments) as a function of the number of cycles (20×, 30×, 40× and 50×) and MgCl₂ concentration in the reaction buffer (1.5, 2.5, 4.5 and 6.0 mmol/l) in the pre-amplification using the primer pair 120 bp (SEQ ID: 5 and 6) at an annealing temperature of 50.7° C. Trace 1: 0% methylated standard NDA, trace 2: 50% methylated standard DNA and trace 3: non-template negative control. The thin arrows show the scatter signals for 0% methylated standard DNA and non-template negative controls, and the thick arrows show the increasing signal intensities for the 50% methylated standard DNA as the number of cycles increases (shown at the bottom).

FIG. 52 shows FAM signals (methylated GSTP1 DNA fragments) as a function of the number of cycles (20×, 30×, 40× and 50×) and MgCl₂ concentration in the reaction buffer (1.5, 2.5, 4.5 and 6.0 mmol/l) in the pre-amplification using the primer pair 116 bp (SEQ ID: 84 and 85) at an annealing temperature of 53.8° C. Trace 1: 0% methylated standard NDA, trace 2: 50% methylated standard DNA and trace 3: non-template negative control. The arrows shows the intensities of the FAM signals for 50% methylated standard DNA as a function of the number of cycles in samples having MgCl₂ concentrations of from 1.5 to 6.0 mmol/l.

FIG. 53 shows FAM signals (methylated GSTP1 DNA fragments, top image) and HEX signals (unmethylated GSTP1 DNA fragments, bottom image) in serum samples from healthy subjects (GF1-GF20; to the left, separated by the first division line) and serum samples from female breast cancer patients (MF1-MF20; to the right of the first division line) and non-template control (NTC, no DNA or genomic DNA, without bisulphite conversion, right of the second division line in each case) after 15 BBPA cycles using the GSTP1 116 bp primers (SEQ ID: 93 and 94) and at an MgCl₂ concentration of 1.5 mmol/l and a temperature of 53.8° C., and subsequent dPCR. The arrows in the top image show the additional patient samples that showed positive results for GSTP1 methylation at an MgCl₂ concentration of 4.5 mM (FIG. 54), and the arrows in the bottom image show the weak HEX signals obtained at an MgCl₂ concentration of 1.5 mM.

FIG. 54 shows FAM signals (methylated GSTP1 DNA fragments, top image) and HEX signals (unmethylated GSTP1 DNA fragments, bottom image) in serum samples from healthy subjects (GF1-GF20; to the left, separated by the first division line) and serum samples from female breast cancer patients (MF1-MF20; to the right of the first division line) and non-template control (NTC, no DNA or genomic DNA, without bisulphite conversion, right of the second division line in each case) after 15 BBPA cycles using the GSTP1 116 bp primers (SEQ ID: 93 and 94) and at an MgCl₂ concentration of 4.5 mmol/l and a temperature of 53.8° C., and subsequent dPCR. The arrows in the top image show the additional patient samples that showed positive results for GSTP1 methylation at an MgCl₂ concentration of 4.5 mM compared with 1.5 mM (FIG. 53), and the arrows in the bottom image show the strong HEX signals obtained at an MgCl₂ concentration of 4.5 mM.

FIG. 55 shows FAM signals (methylated GSTP1 DNA fragments, top image) and HEX signals (unmethylated GSTP1 DNA fragments, bottom image) in serum samples from healthy subjects (GM1-GM20; to the left, separated by the first division line), non-template control (NTC, no DNA in the dPCR, to the right of the first division line, serum samples from prostate cancer patients (PCa; PPCa1-PPCa20, to the right of the second division line) and non-template controls (NTC, no DNA or genomic DNA, without bisulphite conversion, to the right of the third division line) after 15 BBPA cycles using the GSTP1 120 bp primers (SEQ ID: 5 and 5) and at an MgCl₂ concentration of 2.5 mmol/l and a temperature of 50.7° C., and subsequent dPCR. The arrows show the serum samples from PCa patients in which the FAM signals could be significantly distinguished from those in the serum samples from healthy subjects (Table 13).

FIG. 56 shows FAM signals (methylated GSTP1 DNA fragments, top image) and HEX signals (unmethylated GSTP1 DNA fragments, bottom image) in serum samples from healthy subjects (GM1-GM20; to the left, separated by the first division line), non-template control (NTC, no DNA in the dPCR, to the right of the first division line), serum samples from prostate cancer patients (PPCa1-PPCa20, to the right of the second division line) and non-template controls (NTC, no DNA or genomic DNA, without bisulphite conversion, to the right of the third division line) after 15 BBPA cycles using the GSTP1 116 bp primers (SEQ ID: 93 and 94) and at an MgCl₂ concentration of 4.5 mmol/l and a temperature of 53.8° C., and subsequent dPCR. The arrows show the serum samples from PCa patients in which the FAM signals could be significantly distinguished from those in the serum samples from healthy subjects (Table 14).

FIG. 57 shows FAM signals (methylated SERPINE1 DNA fragments, top image) and HEX signals (unmethylated SERPINE1 DNA fragments, bottom image) in serum samples from healthy subjects (GM1-GM20; to the left, separated by the first division line), serum samples from prostate cancer patients (PPCa1-PPCa20; to the right of the first division line) and non-template controls (NTC, no DNA or genomic DNA, without bisulphite conversion, to the right of the second division line) after 15 BBPA cycles using the SERPINE1 123 bp primers (SEQ ID: 16 and 17) and at an MgCl₂ concentration of 3.5 mmol/l and a temperature of 52.0° C., and subsequent dPCR. The arrows show the serum samples from PCa patients in which the FAM signals could be significantly distinguished from those in the serum samples from healthy subjects (Table 15).

FIG. 58 shows FAM signals (methylated SERPINE1 DNA fragments, top image) and HEX signals (unmethylated SERPINE1 DNA fragments, bottom image) in serum samples from healthy subjects (GM1-GM20; to the left, separated by the first division line), serum samples from prostate cancer patients (PPCa1-PPCa20; to the right of the first division line) and non-template controls (NTC, no DNA or genomic DNA, without bisulphite conversion, to the right of the second division line) after 50 BBPA cycles using the SERPINE1 123 bp primers (SEQ ID: 16 and 17) and at an MgCl₂ concentration of 3.5 mmol/l and a temperature of 52.0° C., and subsequent dPCR. The arrows show the serum samples from PCa patients in which the FAM signals could be significantly distinguished from those in the serum samples from healthy subjects (Table 16).

FIG. 59 shows FAM signals (methylated AOX1 DNA fragments, top image) and HEX signals (unmethylated AOX1 DNA fragments, bottom image) in serum samples from healthy subjects (GM1-GM20; to the left, separated by the first division line), serum samples from prostate cancer patients (PPCa1-PPCa20; to the right of the first division line) and non-template controls (NTC, no DNA or genomic DNA, without bisulphite conversion, to the right of the second division line) after 15 BBPA cycles using the AOX1 138 bp primers (SEQ ID: 18 and 19) and at an MgCl₂ concentration of 2.5 mmol/l and a temperature of 50.0° C., and subsequent dPCR. The arrows show the FAM signals in serum samples from three healthy subjects and a PCa patient in which the intensity dropped considerably after 30 BBPA cycles (FIG. 60 and Tables 17 and 18).

FIG. 60 shows FAM signals (methylated AOX1 DNA fragments, top image) and HEX signals (unmethylated AOX1 DNA fragments, bottom image) in serum samples from healthy subjects (GM1-GM20; to the left, separated by the first division line), serum samples from prostate cancer patients (PPCa1-PPCa20; to the right of the first division line) and non-template controls (NTC, no DNA or genomic DNA, without bisulphite conversion, to the right of the second division line) after 30 BBPA cycles using the AOX1 138 bp primers (SEQ ID: 18 and 19) and at an MgCl₂ concentration of 2.5 mmol/l and a temperature of 50.0° C., and subsequent dPCR. The arrows show the FAM signals in serum samples from healthy subjects and one PCa patient in which the intensity dropped considerably after 30 BBPA cycles compared with 15 cycles (FIG. 59). The arrow to the right shows the results for patient PPCa14, in which values were still considerably elevated after 15 BBPA cycles but were significantly lower after 30 cycles, unlike e.g. patients PPCa12 and 17, and could no longer be distinguished from those of healthy subjects GM12 and 16. If the threshold is set such that these samples do not show any FAM-positive signals, seven serum samples from PCa patients show considerably elevated FAM signal values and are significantly different from those of healthy subjects (Tables 17 and 18).

FIG. 61 is a box plot for the PSA concentration values (ng/ml) that were detected in the serum from 20 patients suffering from benign prostatic hyperplasia (BPH, No 1 left) and 20 PCa patients (No 2 right) and do not differ significantly (p<0.552).

GENERAL SPECIFICATIONS

Isolation and Bisulphite Conversion of Circulating Free DNA (cfDNA):

Firstly, the circulating free DNA (cfDNA) is isolated from the sample being tested, e.g. from 1-5 ml serum samples using QIAamp Circulating Nucleic Acid Kit from Qiagen GmbH (Hilden, Del.) following the test kit description, and then eluted into samples of 25 μl each.

Bisulphite Conversion of the cfDNA:

The bisulphite conversion of 20 μl samples of the cfDNA is carried out using the EpiTect Fast Bisulfite Conversion Kit from Qiagen GmbH following the test kit description. Following elution, 15 μl of bisulphite-treated cfDNA solution is obtained.

Bias-Based Pre-Amplification (BBPA) of Samples:

Following bisulphite conversion, the DNA concentrations in the DNA samples are determined using the Quantus™ Fluorometer (Promega). Where the DNA concentration was below or above 1 ng/μl, 2 or 1 μl of the bisulphite-treated DNA was added to the BBPA, respectively.

Master Mix for the BBPA:

Reagent Vol. [μl] Final concentration PCR buffer [15 mM MgCl] 2.50 1.5 mmol/l dNTPs [2.5 mM] 2.00 200 μmol/l forward primer 1.00 400 nmol/l reverse primer 1.00 400 nmol/l HotStarTaq Plus [5 U/μl] 0.125 0.625 U MgCl₂ [25 mM] 0-13.50, 0 to +13.5, preferably preferably 1.00-2.00 +1-2 mmol/l RNase-Free Distilled 2.875-17.375, Water preferably 13.50-15.50 Carrier DNA 1.00-2.00 Final volume 25.00 mM = mmol/l Primers for the BBPA:

Annealing SEQ SEQ temperature Target Forward (5′->3′) ID Reverse (5′->3′) ID BBPA PLA2R1 GGGGTAAGGAAGGTGGAGAT 1 ACAAACCACCTAAATTCTAATAAACAC 2 63.0° C. and (168 bp) 2.5 mM MgCl₂ RASSF1A GTTTGTTAGCGTTTAAAGTTAG 3 AATACGACCCTTCCCAAC 4 52.0° C. and (117 bp) 2.5 mM MgCl₂ GSTP1 GTGAAGCGGGTGTGTAAGTTT 5 TAAACAAACAACAAAAAAAAAAC 6 50.7° C. and (120 bp) 2.5 mM MgCl₂ GSTP1 ATCGTAGCGGTTTTAGGGAA 93 TCCCCAACGAAACCTAAAAA 94 53.8° C. and (116 bp) 4.5 mM MgCl₂ PLA2R1 GGGGTAAGGAAGGTGGAGAT 53 AATAAACACCGCGAATTTACAAC 9 59.5° C. and (150 bp) 2.5 mM MgCl₂ PLA2R1 ACCTAAATTCTAATAAACACCGC 10 62.5° C. and (161 bp) 2.5 mM MgCl₂ PLA2R1 CCTAAATTCTAATAAACACCGC 11 62.5° C. and (160 bp) 2.5 mM MgCl₂ PLA2R1 GGAAGGTGGAGATTACGG 7 GCGAATTTACAACGAACAAC 8 50.0° C. and (133 bp) 1.5 mM MgCl₂ or 63.0° C. and 6.0 mM MgCl₂ AOX1 TGGGTTGGATTTTAGGTTTTAG 14 CTCACCTTACGACCGTTC 15 52.6° C. and (180 bp) 2.5 mM MgCl₂ SERPINE1 AGAGCGTTGTTAAGAAGA 16 CTCCTACCTAAAATTCTCAAAA 17 52.0° C. and (123 bp) 3.5 mM MgCl₂ AOX1 GTTGGATTTTAGGTTTTAGTAAG 18 GCCCGATCCATTATAATATC 19 50.0° C. and (138 bp) 2.5 mM MgCl₂ SEQ SEQ Target Forward (5′->3′) ID Reverse (5′->3′) ID RASSF1A GCGTTTGTTAGCGTTTAAAG 61 AACCGAATACGACCCTTC 62 (124 bp) GSTP1 CGTAGCGGTTTTAGGGAATTT 91 TCCCCAACGAAACCTAAAAA 92 (114 bp) GSTP1 TGTAAGTTTCGGGATCGTAGC 95 TCCCCAACGAAACCTAAAAA 96 (129 bp) GSTP1 GTGTGTAAGTTTCGGGATCG 97 TCCCCAACGAAACCTAAAAA 98 (132 bp) AOX1 GTTGGATTTTAGGTTTTAGTAAG 63 GCCCGATCCATTATAATATC 64 (138 bp) AOX1 GGATTTTAGGTTTTAGTAAGTTTC 65 GCCCGATCCATTATAATATCCG 66 (135 bp) AOX1 GATTTTAGGTTTTAGTAAGTTTCG 67 (134 bp) SERPINE1 CGTTGTTAAGAAGATTTATAC 68 TAAACCCGAAATAAAAAATTAAA 69 (119 bp) TM GGTCGATTCGTATGTTAGA 70 5′-AACCGTACCGAAACAAAA 71 (125 bp) TM GTTTGGGTTGGGACGGATA 72 5′-AAAAACCAAAACCCCAAACA 73 (144 bp) TM GTTTGGGGTTTTGGTTTTTG 74 5′-GCAATCCGTCGCAAATCTAA 75 (166 bp) TM 5′-CAATCCGTCGCAAATCTAAC 76 (165 bp)

Since methylated DNA fragments were detected in serum samples from tumour patients and in cfDNA samples from serum of healthy subjects following pre-amplification and dPCR using methyl-specific primers, which was not the case when using a less methyl-specific primer pair, the methyl-specific primers were altered empirically such that unmethylated DNA fragments were also amplified as well as the methylated fragments, thereby producing a bias in favour of methylated DNA sequences as far as possible during the amplification. The aforementioned primers were obtained in the process. For the RASSF1A gene, for example, an oligonucleotide pair (amplified material size 117 bp) was generated that amplifies both methylated and unmethylated DNA fragments over a wide temperature range and at the same time has a clear bias in favour of methylated DNA fragments. A similar process was carried out for the targets of interest PLA2R1 (FIG. 34-37), GSTP1 (Table 15), SERPINE1, AOX1 and thrombomodulin, without methylated fragments alone being amplified.

In the following examples, the aforementioned primers were used for both BBPA and dPCR. It goes without saying that other primers (nested PCR primers) that hybridise (anneal) with the sequence portions pre-amplified by the BBPA can also be used for the dPCR. The primers used in the dPCR must include the DNA sequence for which the probes used are specific. Since bias is ruled out in the dPCR, the primers in this case can be selected according to conventional rules, or the BBPA-specific primers are also used in the dPCR.

Temperature and Time Schedule for the BBPA:

PCR Temperature Time Denaturing: 95° C.  5 minutes PCR cycle: 94° C. (denaturing) 10 seconds 5×-50× Primer-specific temperatures 30 seconds (Annealing: 40-72° C., preferably 50-72° C.) 72° C. (elongation) 30 seconds  4° C. Stop Master Mix for ddPCR:

Batch vol. Component [μl] Final concentration 2× ddPCR super mix 10.0 (BioRad) 20× primer/probe mix 1.0 900 mmol/l/250 nmol/l DNA 2.0 RNase-Free Distilled Water 7.0 Final volume 20.0 Probes: For the dPCR

SEQ SEQ Hybridisation Target methylated (5′->3′) ID unmethylated (5′->3′) ID temp. PLA2R1 CCCAACTACTCCGCGACGCAA 20 AACCCAACTACTCCACAACACAAA 21 58.8° C. (3 CpG) PLA2R1 CAACTACTCCGCGACGCAAACG 22 AACCCAACTACTCCACAACACAAACA 23 51.9° C. (4 CpG) RASSF1A CGCCCAACGAATACCAACTCCCG 24 CACCCAACAAATACCAACTCCCACAA 25 51.9° C. (3 CpG) RASSF1A CGCCCAACGAATACCAACTCCC 54 CACCCAACAAATACCAACTCCCACA 55 51.9° C. (4 CpG) GCG ACTC- GSTP1 CGCAACGAAATATACGCAAC 56 CACAACAAAATATACACAAC 57 50.7° C. (3 CpG) GSTP1 ACGAACTAACGCGCCGAAAC 58 ACAAACTAACACACCAAAAC 59 51.9° C. (4 CpG) AOX1 ACTCGAACGCCCGATCCATTA 37 ACAACTCAAACACCCAATCCATTAT 38 50.7° C. (3 CpG) TAA AA AOX1 CGCTAATTCGAAAACCCGAAAC 39 CACTAATTCAAAAACCCAAAACAA 40 53.8° C. (4 CpG) GA AOX1 CGCGCTAATTCGAAAACCCGA 41 CACACTAATTCAAAAACCCAAAACAA 42 51.9° C. (5 CpG) AACGA SERPINE1 CGATTAACGATTCGTCCTACTC 43 CAATTAACAATTCATCCTACTCTAACA 44 58.8° C. (4 CpG) TAACG SEQ SEQ Target methylated (5′->3′) ID unmethylated (5′->3′) ID AOX1 CGCTAATTCGAAAACCCGAAACGA 77 CACTAATTCAAAAACCCAAAACAA 78 (4 CpG) AOX1 CACTAATTCAAAAACCCAAAACAAAAA 79 (4 CpG) TM ACGCCGATAACGACAACCTCT 80 AAAAAGCAGATAAAGACAACCTC 81 (3 CpG) TM CCGACTACGACTCTACGAATACGAA 82 CAGACTAAGACTCTAAGAATAAGAAAAAC 83 (4 CpG)

In the examples, all the probes are 5′ FAM-marked (methylated DNA) or 5′ HEX-marked (unmethylated DNA) and marked with the quencher BHQ-1 at the 3′ end.

Producing the Droplets (Droplet Generator [BioRad]):

20 μl master mix with DNA sample

+70 μl oil in corresponding cartridges (BioRad);

Generation of around 20,000 oil/emulsion droplets,

35 μl of which into the subsequent dPCR

Temperature and Time Schedule for the dPCR by Means of T100-PCR Device (BioRad):

PCR Temperature Time Denaturing: 95° C. 10 minutes PCR cycle: 94° C. (denaturing) 30 seconds 40× Primer-specific and probe-specific temperature  1 minute (annealing and elongation, 50-72° C.) 98° C. (droplet stabilisation) 10 minutes 20° C. Stop Droplet Fluorescence Measurement:

The droplet fluorescence is measured by means of QY100 (BioRad) following the manufacturer's description.

Gene Selection

On the basis of tests carried out on prostate cells (normal PrEC and BPH-1, and malignant LNCaP, PC-3 and DU-145 cell lines), breast cancer cells (normal HMEC and malignant Cal-51, BT-474, MCF-7 and MDA-MB-453 cell lines), leukaemia cell lines (U937 and Jurkat cells), the hepatoma cell line (HepG2) and normal endothelial cells (HUVEC and HCAEC), the genes PLA2R1, RASSF1A and GSTP1 were selected, as well as the genes SERPINE1 (PAI-1) and AOX1. Another gene candidate is thrombomodulin (TM). In the genes uPA, Del-1 and Jam-C, elevated methylation values in the prostate tumour cell lines were only found in individual cases. The gene PLA2G5 showed elevated methylation values even in normal PrEC and is thus unsuitable for use as a biomarker for diagnosing tumour diseases.

TABLE 1 Overview of the gene methylations tested (%) in prostate cells (normal PrEC and BPH -1, and malignant LNCaP, PC-3 and DU-145 cell lines), breast cancer cells (normal HMEC and malignant Cal-51, BT-474, MCF-7 and MDA-MB-453 cell lines), leukaemia cell lines (U937 and Jurkat cells), the hepatoma cell line (HepG2) and normal endothelial cells (HUVEC and HCAEC) Cell type PLA2R1 PLA2G5 PAI-1 uPA Del-1 Jam-C RASSF1A AOX1 GSTP1 TM PrEC 2.2 25 0 0 5 0 2 0 0.7 0 BPH-1 6 n.d. 0 n.d. n.d. n.d. 7 8 0.6 n.d. LNCaP 99 70 30 65 30 0 94 46 99 17 PC-3 43 40 16 0 0 0 96 69 26 28 DU145 24 100 64 0 0 23 55 64 18 64 U937 100 100 9 n.d. 100 n.d. 5 n.d. n.d. n.d. Jurkat 100 65 1 n.d. 10 n.d. 80 n.d. n.d. n.d. HepG2 42 19 1 n.d. 7 n.d. 70 n.d. n.d. n.d. HUVEC 1 12 n.d. n.d. 0 n.d. 4 n.d. n.d. n.d. HCAEC 2 0 1 n.d. 0 n.d. 3 n.d. n.d. n.d. HMEC 1 5 0 0 0 0 3 n.d. n.d. 0 Cal-51 5 11 40 0 95 20 100 n.d. n.d. 70 BT-474 8 85 48 47 0 100 100 n.d. n.d. 55 MCF-7 9 59 75 75 0 100 95 n.d. n.d. 45 MDA-MB-453 71 35 65 100 65 100 70 n.d. n.d. 0 n.d. = no data

Embodiment 1: BBPA-dPCR Results on the Basis of RASSF1 Methylation in Serum Pool Samples from Female Breast Cancer Patients Compared with Healthy Subjects

When using the bias-inducing RASSF1 (117 bp) primer pair (SEQ ID No 3 and 4), it was surprisingly found that, as the cycle number increased and without the pre-amplified material being additionally diluted, the differential between the determined methylation levels of the RASSF1A gene among healthy female subjects and female breast cancer patients increased more and more, to the extent that the values from healthy female subjects approached 0% and those from the female breast cancer patients approached 100%. For example, it was found that using the above primer pair at an annealing temperature of from 66.1° C. to 60.0° C. increased the number of copies of methylated sequences to a greater extent in the breast cancer patient samples compared with unmethylated sequences (FIG. 2). However, it was unexpected that the methylated DNA copies occurring in the fcDNA of healthy subjects, even when only in small numbers, were preferably not copied over unmethylated DNA copies. On the contrary, the unmethylated DNA copies were copied to a greater extent compared with the methylated copies in the healthy samples (Table 2). Without the BBPA, the methylation level (fractional abundance) was 0.6% (Poisson probability range: 0-1.2%) in healthy subjects and 1.5% (Poisson probability range: 0.8-2.1%) in breast cancer patients (Table 2).

TABLE 2 Number of copies of methylated (Met) and unmethylated (Unm) RASSF1A sequences as a function of annealing temperature (60.0-69.3° C.) for 30 BBPA cycles in serum pool samples of healthy subjects (BA) or female breast cancer patients (PatP). Following BBPA, 1 μl of the 25 μl PCR batches were added to the dPCR, and so the values after the BBPA were multiplied by 25 for comparison. “without” in the Temp/° C. column signifies without prior BBPA. Poisson Poisson Copies/ fractional fractional 20 μl Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional abundance abundance Temp/ Sample Target well 1:25 Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets abundance max. min. ° C. BA RASSF1 9 9 4 10353 0 4 669 9684 10357 0.6 1.2 0 without Met BA RASSF1 1580 1580 669 9688 without Unm PatP RASSF1 40 40 19 11016 1 18 1202 9814 11035 1.5 2.1 0.8 without Met PatP RASSF1 2720 2720 1203 9832 without Unm BA 30× RASSF1 2 50 1 11872 1 0 65 11807 11873 1.5 5 0 69.3 Met BA 30× RASSF1 132 3300 66 11807 69.3 Unm PatP 30× RASSF1 11.2 280 6 12562 0 6 73 12489 12568 8 14 2 69.3 Met PatP 30× RASSF1 138 3450 73 12495 69.3 Unm BA 30× RASSF1 18 450 8 10515 4 4 447 10068 10523 1.7 2.9 0.5 68.0 Met BA 30× RASSF1 1030 25750 451 10072 68.0 Unm PatP 30× RASSF1 32 800 19 13584 0 19 351 13233 13603 5.1 7.3 2.8 68.0 Met PatP 30× RASSF1 616 15400 351 13252 68.0 Unm BA 30× RASSF1 162 4050 71 10332 35 36 3692 6640 10403 1.52 1.87 1.17 66.1 Met BA 30× RASSF1 10440 261000 3727 6676 66.1 Unm PatP 30× RASSF1 17660 441500 6583 5888 2325 4258 2801 3087 12471 58.6 59.5 57.7 66.1 Met PatP 30× RASSF1 12460 311500 5126 7345 66.1 Unm BA 30× RASSF1 0 0 0 10851 0 0 6036 4815 10851 0 0 0 60.0 Met BA 30× RASSF1 19120 478000 6036 4815 60.0 Unm PatP 30× RASSF1 74000 1850000 12234 550 1678 10556 12 538 12784 95.69 95.91 95.46 60.0 Met PatP 30× RASSF1 3340 83500 1690 11094 60.0 Unm

TABLE 3 Number of copies of methylated (methyl) and unmethylated (unmethyl) RASSF1A sequences as a function of number of BBPA cycles(0 × [i.e. without BBPA], 8×, 12×, 16× and 40× ) at 60.0° C. in serum pool samples of healthy subjects (BA) or breast cancer patients (PatP). Following BBPA, 1 μl of the 25 μl PCR batches was added to the dPCR, and so the values following the BBPA were multiplied by 25 for comparison. Poisson Poisson Copies/ fractional fractional 20 μL Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional abundance abundance Sample well 1:25 Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets abundance min. max. BA (0×) 12 12 5 9728 1 4 567 9161 9733 0.8 0.1 1.6 methyl. BA (0×) 1420 1420 568 9165 unmeth. PatP 40 40 19 11241 4 15 907 10334 11260 2 1.1 2.8 (0×) methyl. PatP 1980 1980 911 10349 (0×) unmeth. BA 8× 2.2 55 1 11053 1 0 20 11033 11054 5 0 15 methyl. BA 8× 44 1100 21 11033 unmeth. PatP 8× 22 550 8 8730 2 6 36 8694 8738 17 6 29 methyl. PatP 8× 102 2550 38 8700 unmeth. BA 12× 7 175 3 10206 3 0 43 10163 10209 6 0 13 methyl. BA 12× 106 2650 46 10163 unmeth. PatP 12× 150 3750 63 9832 0 63 58 9774 9895 52 43 61 methyl. PatP 12× 138 3450 58 9837 unmeth. BA 6× 8.4 210 4 11236 2 2 1014 10222 11240 0.37 0 0.76 methyl. BA 16× 2220 55500 1016 10224 unmeth. PatP 16× 1544 38600 755 11125 8 747 144 10981 11880 83.6 81.2 86 methyl. PatP 16× 302 7550 152 11728 unmeth. BA 40× 30 750 16 12592 6 10 4345 8247 12608 0.3 0.15 0.45 methyl. BA 40 9960 249000 4351 8257 unmeth. PatP 40× 46580 1164500 9298 1490 1665 7633 198 1292 10788 91.26 90.85 91.67 methyl. PatP 40× 4460 111500 1863 8925 unmeth.

This unusual behaviour also became clear when the annealing temperature was kept constant at 60.0° C. and the copying was analysed according to number of cycles. In this case, too, the methylated fraction increased compared with the unmethylated fraction in the cfDNA samples of tumour patients, even after just 16 cycles, and further increased sharply after 40 cycles (FIGS. 3 and 4). By contrast, in healthy subjects there was a significant increase in the unmethylated DNA fraction, whereas the proportion of methylated DNA only rose slightly (FIGS. 3 and 4; Table 3). Without the BBPA, the methylation level (fractional abundance) was 0.8% (Poisson probability range: 0.1-1.6%) in healthy subjects and 2.0% (Poisson probability range: 1.1-2.8%) in breast cancer patients (Table 3).

This phenomenon cannot yet be fully explained. It first accounts for the observation that, as the number of PCR cycles is increased, the fractional methylation level of the RASSF1A gene determined (ratio between methylated and unmethylated DNA fragments in relation to the overall quantity of methylated and unmethylated DNA fragments) in the healthy cfDNA samples approached 0% whereas the methylation level in the breast cancer patients' cfDNA samples approached 100%.

In this way, a clear-cut distinction can be made between healthy and diseased subjects on the basis of the determination of the methylation of e.g. the RASSF1A gene; this is not possible using dPCR alone or MS-HRM. For example, in the same serum pool samples using dPCR alone, fractional methylation levels of the RASSF1A gene of 0.5% (Poisson probability range: 0.05-0.99%) could be detected in healthy subjects and of 1.00% (Poisson probability range: 0-2.00%) in female breast cancer patients (FIG. 5); in other words, they could not be distinguished to a statistically significant degree.

In addition, the same pool samples did not show any significant differences in the melting curve characteristics as a result of MS-HRM analysis between healthy subjects and breast cancer patients (FIG. 6).

Embodiment 2: BBPA-dPCR Results on the Basis of RASSF1 Methylation in Serum Pool Samples from Prostate Cancer Patients Compared with Healthy Subjects

The phenomenon first observed in breast cancer patients, whereby the values for RASSF1A methylation deviated increasingly between healthy and diseased subjects when a selective annealing temperature and increasing number of cycles are used (i.e. increasing pre-amplified numbers of copies), was also observed in serum pool samples from prostate cancer patients compared with healthy subjects (Tables 4 and 5). For example, in this case too there was a large difference between healthy subjects and prostate cancer patients when the pre-amplification was carried out at 59° C. instead of 52° C., and after 50 cycles different quantities of the pre-amplified DNA copies (e.g. 1:10⁷ diluted compared with dilution of 1:10⁵, i.e. 100-times less diluted) were analysed in the dPCR (Table 4). This was also observed when the annealing temperature was constant at 59° C. and 35 or 50 cycles were carried out in the pre-amplification (Table 5).

TABLE 4 Relative frequency of methylated RASSF1A sequences in cfDNA samples from a serum pool of healthy subjects (BA) and prostate cancer patients (Pat) following BBPA (50 cycles at 52° C. and 59° C.) as a function of the quantity of DNA used in the dPCR (dilutions of 1:10⁷, 1:10⁶ and 1:10⁵). BBPA BA Pat 50 cycles at 52° C. and dilution of 1:10⁷  2.52%  9.52% 50 cycles at 59° C. and dilution of 1:10⁷  0.91%  81.9% 50 cycles at 52° C. and dilution of 1:10⁶ 0.153%  9.73% 50 cycles at 59° C. and dilution of 1:10⁶ 0.067% 96.26% 50 cycles at 52° C. and dilution of 1:10⁵    0%  11.6% 50 cycles at 59° C. and dilution of 1:10⁵ 0.006% 99.09%

TABLE 5 Relative frequency of methylated RASSF1A sequences in cfDNA samples from a serum pool of healthy subjects (BA) and prostate cancer patients (Pat) following BBPA (35 and 50 cycles at 59° C.) as a function of the quantity of DNA used in the dPCR (dilutions of 1:10⁷ to 1:10³). BBPA BA Pat 35 cycles at 59° C. and dilution of 1:10⁷  4.7% 65.7% 50 cycles at 59° C. and dilution of 1:10⁷  0.42% 79.8% 35 cycles at 59° C. and dilution of 1:10⁶  2.7% 65.6% 50 cycles at 59° C. and dilution of 1:10⁶ 0.011% 92.0% 35 cycles at 59° C. and dilution of 1:10⁵  1.1% 75.2% 50 cycles at 59° C. and dilution of 1:10⁵ 0.006% 96.5% 35 cycles at 59° C. and dilution of 1:10⁴  0.01% 70.2% 50 cycles at 59° C. and dilution of 1:10⁴    0% 98.5% 35 cycles at 59° C. and dilution of 1:10³    0% 75.5% 50 cycles at 59° C. and dilution of 1:10³ 0.004% 96.3%

TABLE 6 Absolute number of copies of methylated (methyl) and unmethylated (unmethyl) RASSF1A sequences in cfDNA samples from a serum pool of healthy subjects (BA) and prostate cancer patients (PatP) following BBPA (50 cycles at 59° C., undiluted [und.]). The resultant number of DNA copies after the corresponding dilutions (1:103, 1:104, 1:105, 1:106 and 1:107) used in the dPCR are shown. On this basis, the CPCs for the tests shown in Tables 4 and 5, in which there was an average droplet number of 12,000, were calculated according to the formula: CPC (copies per compartment) = copies/number of compartments, for the samples from healthy subjects (BA CPC) and prostate cancer patients (PatP CPC). Samples und. 1:10⁷ 1:10⁶ 1:10⁵ 1:10⁴ 1:10³ BA methyl  2.4 × 10⁸  24 240 2400 24000 240000 BA unmethyl  6.7 × 10¹⁰ 6700 67000 670000  6.7 × 10⁶  6.7 × 10⁷ PatP methyl 1.828 × 10¹¹  18280 182800 1.828 × 10⁶ 1.828 × 10⁶  1.828 × 10⁷  PatP unmethyl 4.98 × 10¹⁰ 4980 49800 49800 498000 4.98 × 10⁶ BA total DNA 6724 67240 672400 6.72 × 10⁶ 6.72 × 10⁷ copies BA CPC 0.56 5.6 56.0 560 5603 PatP total DNA 23260 232600  2.33 × 10⁶ 2.33 × 10⁷ 2.33 × 10⁸ copies PatP CPC 1.9 19.4 193.8 1938 19383

For the dPCR, a maximum CPC value of 8 is given according to the prior art for the Poisson distribution and the associated statistics to apply [9]. However, the data presented here shows that, at a CPC value >8, the distinction between healthy and diseased subjects is even more clear-cut. A CPC of 8 means that a maximum of 80,000 DNA copies are used in a dPCR having 10,000 compartments (e.g. oil-emulsion droplets or “nano-chambers” on a fixed support). In theory, after 35 or 50 amplification cycles the initial DNA copies are copied 3.43×10¹⁰ or 1.12×10¹⁵ times, if 100% PCR efficiency is assumed. In the example shown, after 50 cycles there were 1.828×10¹¹ methylated and 4.98×10¹⁰ unmethylated RASSF1A DNA fragment copies in the samples from prostate cancer patients, and 2.4×10⁸ methylated and 6.7×10¹⁰ unmethylated RASSF1A DNA fragment copies in the samples from healthy subjects (Table 6). If, for example, the batch having the greatest separation (distinction) is selected, i.e. 50 cycles at 59° C. and dilution of 1:10⁴, in which 0% RASSF1A methylation was found in healthy subjects (BA) and 98.5% methylation was found in diseased subjects (PatP), the CPC value was 560 for the BA sample and 1938 for the PatP sample (Table 6).

On the basis of this clear distinction, the BBPA-dPCR in principle makes it possible to give a yes/no answer as regards the presence of tumour-specific DNA in the sample being tested (liquid biopsy) and therefore of a tumour disease. By means of the varying manipulated variable in the form of the number of cycles, without non-specific signals also being amplified at the same time, it is possible to specifically detect just one single tumour DNA molecule against a large background of normal DNA in a sample being tested. Detection that is this sensitive and in particular this specific is not possible with dPCR alone.

Embodiment 3: BBPA-dPCR Results on the Basis of RASSF1 Methylation in Individual Serum Samples from Female Breast Cancer Patients—Comparison with dPCR Alone and with MS-HRM

In 10 serum samples from healthy subjects not suffering from tumour diseases and 10 female breast cancer patients, it was observed in the RASSF1A methylation analysis that only 4 patients (P2, P3, P8 and P19) were correctly identified as having positive results using dPCR alone (FIG. 7; Table 7), whereas 8 of the 10 female breast-CA patients (P1-P4, P6-P8 and P10) were correctly identified on the basis of the RASSF1A methylation analysis using the BBPA-dPCR according to the invention (FIG. 8; Table 7).

In an MS-HRM analysis carried out concurrently on the identical cfDNA samples, one sample from the healthy subject group showed considerably elevated RASSF1A methylation (FIGS. 9C and 9D, sample ID K9; Table 7) and less elevated RASSF1A methylation in another sample (FIG. 9C, sample ID K8; Table 7). By contrast, a positive RASSF1 result was not detected by means of MS-HRM analysis in one sample (P1) from the female breast cancer patient group (FIG. 9F), yet the BBPA-dPCR analysis showed considerably elevated RASSF1A methylation in this sample (FIG. 8 and Table 7).

TABLE 7 Overview of the RASSF1A methylation levels in serum from healthy subjects (K1-K10) and female breast cancer patients (P1-P10) obtained by means of dPCR alone, MS-HRM and the BBPA-dPCR technique (items in bold: methylation values of >9% as the cut-off value for dPCR alone and of >0.460% in the BBPA-dPCR analysis; a semi-quantitative assessment was carried out in the MS-HRM analysis) RASSF1A by RASSF1A RASSF1A in means of MS-HRM by means of dPCR alone in % analysis BBPA-dPCR ID (comparative data) (comparative data) analysis in % K1  2.5 − 0.38 K2  6 − 0.46 K3  3.2 − 0.058 K4  1.4 − 0.004 K5  3.7 − 0.103 K6  4.7 − 0.017 K7  2.1 − 0 K8  3 (+) 0.009 K9  2.7 + 0.005 K10 9 − 0.010 P1  8 − 5.37 P2  21 ++ 26.9 P3  25 +++ 29.8 P4  9 ++ 5.62 P5  2.2 − 0.006 P6  1.4 ++ 1.33 P7  7 + 4.4 P8  19 +++ 26.9 P9  0 − 0.04 P10 16 + 17.4

Overall, 2 out of 10 samples from the healthy subject group were erroneously deemed pathological in the MS-HRM analysis, yet this was not the case with BBPA-dPCR (Table 7). In MS-HRM alone, therefore, the diagnostic sensitivity (i.e. diseased subjects correctly diagnosed) was 70% and the diagnostic specificity (i.e. healthy subjects correctly diagnosed) was 80%. In dPCR alone, the diagnostic sensitivity was 40% and the diagnostic specificity was 100%, based on an RASSF1A methylation threshold of <9.1% for healthy subjects. In BBPA-dPCR, the diagnostic sensitivity was 80% and the diagnostic specificity was 100%, based on an RASSF1A methylation threshold of <0.460% for healthy subjects. To detect a tumour disease early (screening or precautionary examinations), a diagnostic sensitivity and specificity of close to 100% is necessary in order to exclude false positives (healthy subjects erroneously diagnosed as diseased) and false negatives (diseased subjects not detected).

As shown in further examples below, in BBPA-dPCR the diagnostic sensitivity can be increased by combining a plurality of candidate genes in the methylation test. In addition, using 5 ml serum instead of 1 ml serum, as was the case here, can also increase the diagnostic sensitivity. Moreover, multiplex use of primers in the BBPA can increase the diagnostic sensitivity since this provides the entire set of isolated DNA for analysing the individual candidate genes in the subsequent dPCR.

As shown in embodiment 12, the diagnostic sensitivity of the method can also be increased by using a plurality of primer pairs for the same gene in the pre-amplification, including the sequences that are detected by the probes in the dPCR.

Embodiment 4: BBPA-dPCR Results on the Basis of PLA2R1, RASSF1A, GSTP1 and AOX1 Methylations in Prostate Cancer Patient Sera

In a further test carried out on a group of 19 prostate cancer patients (PCa) and a comparison group of 20 subjects with no tumour disease, it was found that using BBPA-dPCR to determine methylations in PLA2R1 (using the primer pair SEQ ID No 1 and 2 and probe pair SEQ ID No 20 and 21), RASSF1A (primer pair SEQ ID No 3 and 4 and probe pair SEQ ID No 24 and 25), GSTP1 (primer pair SEQ ID No 5 and 6 and probe pair SEQ ID No 56 and 57) and AOX1 (primer pair SEQ ID No 14 and 15 and probe pair SEQ ID No 37 and 38) led to higher values being detectable in 18 out of the 19 patients for at least one of the genes tested compared with the healthy subjects (FIG. 10-12; Table 8).

For these tests, the 2D evaluation shows a distinct population of double-marked droplets (FAM and HEX-positive) that were clearly different from those of unmethylated cfDNA (only HEX-positive) when the BBPA was carried out using an accordingly high number of cycles and the resulting amplified material was analysed in the dPCR in less diluted form (FIG. 13). For the combined BBPA-dPCR-based tests on the PLA2R1, RASSF1A, GSTP1 and AOX1 targets of interest, a diagnostic sensitivity of 95% and a diagnostic specificity of 100% were produced. The ROC analysis showed an AUC value of 0.718 for the PLA2R1 methylation, a value of 0.692 for RASSF1A and a value of 0.976 for GSTP1. When the three biomarkers were combined, the AUC value was 0.982 for the distinction between PCa patients against healthy subjects on the basis of serum tests (FIG. 14).

TABLE 8 Overview of the methylation level determination for the PLA2R1, RASSF1A, GSTP1 and AOX1 genes by means of BBPA-dPCR analyses in % in cfDNA samples of serum from healthy subjects (K1-K20) and PCa patients (P1-19) and the PSA concentrations (ng/ml) (items in bold: values of >2.0% for PLA2R1, >0.1% for RASSF1A, >2.1% for GSTP1 and >1.0% for the AOX1 gene). PSA PLA2R1 RASSF1A GSTP1 AOX1 ID ng/ml in % in, % in % in % K1  0.080 0.076 0.007 0 K2  0 0 0.003 0 K3  0.120 0 0.0026 0.006 K4  0 0 0.021 0 K5  0.130 0.0027 0.007 0.018 K6  0.090 0.006 0.0029 0.039 K7  0.070 0 0.018 0.138 K8  0.150 0 2.05 1.1 K9  0.027 0 0.0029 0 K10 0 0.002 0.0026 0 K11 0 0 0 0.017 K12 1.970 0.003 0 0 K13 1.250 0.003 0.009 0 K14 0.008 0 0.0014 0 K15 0 0 0.004 0.034 K16 0.011 0 0 0.02 K17 0 0 0.0025 0 K18 0.270 0 0.007 0 K19 0.910 0 0 0 K20 0.074 0 0.009 0 P1  52.49 31.400 100 43.9 0 P2  37.48 0.047 57.3 5.58 0 P3  73.66 0 53.6 19.2 0 P4  86.31 2.130 47.9 19.7 55.7 P5  33.63 0.015 40.5 0.28 0 P6  75.53 12.800 0.8 84.5 93.3 P7  79.68 0.360 45.5 2.82 0.018 P8  23.84 0.089 0 0.129 0.05 P9  28.51 0.0022 46.9 0.118 0 P10 37.98 0.0024 0 5.11 0.22 P11 26.78 5.560 0 0.166 0.14 P12 20.74 3.690 0 0.048 0 P13 24.96 2.360 0 0.131 0 P14 18.65 0.290 0 6.83 66.2 P15 77.99 0.087 0 70.2 99.8 P16 25.63 4.450 52.1 0.011 0 P17 38.26 3.770 0 60.2 90.01 P18 59.93 20.30 0 56.5 91.95 P19 54.74 0 29.4 5.83 46.1

In addition to the high AUC values, the BBPA-dPCR showed low intra and interassay variation coefficients (VC) of from 3-10%, significantly below the VC achieved by means of MS-HRM analyses, which attained values of 50-100%, in particular in the 1-3% methylation range. Moreover, an analytical sensitivity of <0.003% was achieved by means of the BBPA-dPCR, even though only 1 ml serum was available for these tests. There were no plasma samples available either, only serum samples. Plasma samples are preferably used for testing cfDNA since the coagulation that occurs in serum samples results in high amounts of DNA being released from blood leucocytes and so high background concentrations of unmethylated DNA must be anticipated. The results showed that using BBPA-dPCR made it possible to detect cf-tumour DNA to a very sensitive degree, even against a large background of normal DNA. In addition, the serum samples were not specially treated pre-analysis, including rapid centrifuging of the serum followed by freezing until the cfDNA was isolated. By comparison, the sensitivity of the MS-HRM technique was at most 1% in some tests. One reason for the negative results (in the BBPA-dPCR test) in the sample from patient P8 (Table 8) could be that too little serum was used (1 ml), meaning that there may not have been any methylated DNA copies in the tested sample.

For this reason, serum samples showing PSA values of between 3.5 and 15.0 ng/ml were analysed next, 3-5 ml of each being available. Said PSA concentration range is the critical range for indicating a prostate tissue biopsy. In 17 serum samples, the PLA2R1 and GSTP1 methylations were determined using the BBPA-dPCR. In this case, significant differences were detected in terms of the sample methylations (FIGS. 15 and 16; Table 9).

TABLE 9 Overview of the PLA2R1 and GSTP1 methylation level determination, the overall PSA concentrations (reference range: <4 ng/ml) and the quotient of free PSA to total PSA (reference range: <20%); items in bold: values above the cut-off value of >0.1% for the methylations of the PLA2R1 and GSTP1 genes). fPSA/ total PSA PSA PLA2R1 GSTP1 ID ng/ml in % in % in % Result M1  6.88 11.48 4.45 0.02 Prostate biopsy with 1/16 cylinders positive on the right M2  3114.7 no 0.003 4.64 Metastatic prostate data cancer M3  6.51 24.6 0.0021 2.69 M4  13.87 12.11 0.65 0.04 Prostate biopsy positive M5  6.19 7.11 4.25 0.36 ? M6  3.52 52.27 0.019 0.009 M7  3.48 24.1 0.017 1.14 M8  4.36 19.5 0.085 0.016 M9  4.86 10.7 1.66 0.35 ? M10 6.24 8.49 0.005 0 M11 8.64 9.84 0.008 0.077 M12 7.49 4.27 1.24 0.0039 Prostate biopsy with 1/12 cylinders positive M13 8.9 30.79 0.011 0.023 M14 8.32 22.5 1.41 0.005 Prostate biopsy carried out, results pending M15 4.26 16.9 0 0.0025 M16 14.88 7.6 0.73 0.192 Moderately enlarged prostate with partially obstructive lateral lobes M17 10.17 5.9 0.94 0.048 Metastatic colon Ca, 14/23 LM, pM1a (hepatic)

If a cut-off value of <0.1% is taken as the basis for the methylation of the two biomarkers, the indication for a biopsy could be reinforced in 7 samples (M1, M4, M5, M9, M12, M16 and M17, Table 9), the indication being made due to a quotient of free PSA to total PSA of <20%. In 4 samples having a quotient of free PSA to total PSA of <20%, no elevated values could be found for the tested biomarkers, meaning that no tissue biopsy would be indicated in these cases (M8, M10, M11 and M15, Table 9). By contrast, in 3 samples (M3, M7 and M14), increased values for the PLA2R1 and GSTP1 methylations were shown, despite the free PSA proportion being >20%. In patient samples M1, M2, M4 and M12, prostate cancer had already been detected. A prostate biopsy had already taken place in another sample (M14) (Table 9).

Embodiment 5: Combination of BBPA-dPCR for RASSF1A Methylation with MS-HRM for PLA2R1 Methylations in Prostate Cancer Patient Serum

Using BBPA-dPCR, the RASSF1A methylation was analysed in a further 27 patient samples. There were no longer any sufficiently isolated DNA samples available for the PLA2R1 methylation determination by means of BBPA-dPCR, and so the RASSF1A results were combined with the PLA2R1 results that had been tested in the MS-HRM analysis. The results showed significantly higher values for the RASSF1A methylation in the samples I1, I2, I18, I19, I21 and I24. It is noteworthy that PCa had already been detected in samples I19, I21 and I24 (Table 10). In sample I12, no elevated RASSF1A methylation was detected although the patient was suffering from PCa with PSA-positive metastasis. It was found, however, that there was a considerably methylated sub-fraction of the PLA2R1 gene in this sample (Table 10). A positive PLA2R1 methylation result without the RASSF1A methylation being elevated at the same time was also found in another PCa patient (sample I17, Table 10). The patient who gave sample I2 had also undergone a prostate biopsy. The extent of the prostate cancer in the patients of samples I1, I11 and I18 is not yet known. This question can only be answered in the future.

TABLE 10 Overview of the methylation level determination in RASSF1A by means of BBPA-dPCR and PLA2R1 by means of MS-HRM, and the overall PSA concentrations (reference range: <4 ng/ml) and the quotient of free to total PSA (reference range: <20%); in bold: values above the cut-off value of >0.1% for RASSF1A methylation, a semi-quantitative evaluation was carried out in the MS-HRM analysis of the PLA2R1 gene, PCa, prostate cancer). RASSF1A PLA2R1 fPSA/ in % by by total means of means PSA PSA BBPA- of MS- ID ng/ml in % dPCR HRM Clinical finding I1  3.25 18.2 6.7 + ? I2  9.33 7.8 36.0 ++ Prostate biopsy carried out, results pending I3  4.14 12.3 0.147 − I4  3.88 26 8 0.166 − P biopsy in 2011 and 2014 both negative I5  3.41 32.8 0 − Prostatitis I6  3.47 17.0 0.017 − I7  7.77 21.5 0.046 − I8  4.82 30.3 0.5 − I9  3.41 23.2 0.202 − I10 4.78 16.9 0.6 − I11 4.79 23.8 0.011 ++ ? I12 3.30 27.6 0.023 +++ Prostate cancer with PSA- positive metastasis I13 5.03 27.6 0.24 − I14 6.67 8.9 0.28 − I15 5.03 18.1 0.49 − I16 8.28 10.6 0.71 − I17 5.71 18.6 0.36 ++ Prostate CA, radiotherapy July 2013 I18 5.73 14.1 19.9 + ? I19 7.44 2.2 21.1 ++ Prostate CA in prostate biopsy (3 of 14 cylinders positive) I20 3.17 44.5 0.025 − I21 3.45 8.4 36.3 − PSA, fPSA and BBPA-dPCR from blood taken September 2013; July 2015 histologically proven prostate CA with bone metastasis I22 3.85 19 0 0.3 − quarterly PSA checks I23 5.63 8.9 1.1 − I24 2.54 1.2 34.5 + Prostate CA in prostate biopsy (4 of 12 cylinders positive)

Embodiment 6: BBPA-dPCR for RASSF1A and GSTP1 Methylation in Renal Cell Cancer Patient Serum

In another test, ten serum samples from patients suffering from renal cell cancer were analysed against eight healthy samples.

Likewise, the results showed elevated PLAR21 methylation (when using primer pair SEQ ID No 1 and 2 and probe pair SEQ ID No 20 and 21) in the samples N1-N4, N6-N8 and N10, whereas the methylation in the cfDNA samples from healthy subjects was less than 0.005% (FIG. 17). Together with the determination of the RASSF1A methylation (using primer pair SEQ ID No 3 and 4 and probe pair SEQ ID No 24 and 25) and GSTP1 methylation (primer pair SEQ ID No 5 and 6 and probe pair SEQ ID No 56 and 57), all the serum samples were able to be identified as pathological to a greater extent (Table 11).

TABLE 11 Overview of the determination of the PLA2R1, RASSF1A and GSTP1 methylation levels in serum samples from patients with renal cell cancer (NZK1-10; values in bold are elevated methylation values [>0.1%]) ID PLA2R1 in % RASSF1A in % GSTP1 in % NZK1  0.60 0 9.5 NZK2  0.19 10.9 0 NZK3  1.56 3.52 30.0 NZK4  0.21 0 12.6 NZK5  0 2.6 0 NZK6  1.05 13.8 5.4 NZK7  0.097 14.5 0 NZK8  0.082 10.7 0 NZK9  0 16.6 0 NZK10 6.6 0 0

Embodiment 7: BBPA-dPCR for PLA2R1, RASSF1A and GSTP1 Methylation for Distinguishing Between Benign Prostatic Hyperplasia and Prostate Cancer in Patient Serum

Since prostate cancers, breast cancers and renal cell cancers were able to be unambiguously associated with patients using the new BBPA-dPCR methods, the question arises as to how far it is possible to reliably distinguish between a benign prostatic hyperplasia (BPH) and a PCa using BBPA-dPCR when PSA values are elevated, in order to prevent unnecessary prostate tissue biopsies. For this purpose, the malignant prostate cell lines LNCaP, PC-3 and DU-145 cells, and the benign prostatic hyperplasia cell line BPH-1 were tested.

It was found that, in the benign prostate cell line BPH-1 compared with normal prostate epithelial cells (PrEC), heterogeneously methylated DNA fragments were already present, particularly in the targets of interest PLA2R1 and RASSF1A (FIGS. 18 and 19). When using probes having at least 3 CpG sites in their sequences, these heterogeneously methylated epialleles could be distinguished from the homogeneously methylated epialleles and quantified (FIG. 20). Homogeneously methylated epialleles, i.e. having three out of three CpG sites methylated, appear to be specific for cf-tumour DNA when distinguishing between BPH and PCa, and can form a basis for a reliable differential diagnosis of benign and malignant prostate diseases.

In the case of SERPINE1 methylation (using primer pair SEQ ID No 16 and 17 and probe pair SEQ ID No 43 and 44), there were no homogeneously or heterogeneously methylated epialleles found in the DNA samples from PrEC and BPH-1, and so this gene is also a candidate gene for the differential diagnosis of BPH and prostate cancer (FIGS. 21 and 22).

For the GSTP1 gene, it was also found that there were no homogeneously or heterogeneously methylated epialleles (two out of three CpG sites methylated) detected in PrEC or BPH-1 cells (FIGS. 23 and 24), unlike the malignant prostate cancer cell lines LNCaP, PC-3 and DU-145. Interestingly, the malignant cell line PC-3 mainly showed heterogeneously methylated epialleles (two out of three CpG sites methylated) that are clearly different from those in PrEC and BPH-1 (FIGS. 25 and 26). In these, there were only low concentrations of heterogeneously methylated epialleles (one out of three CpG sites methylated), which could be easily separated from those of the malignant cell lines by increasing the threshold set (FIGS. 25 and 26).

Embodiment 8: Distinguishing Between Healthy Subjects, Benign and Malignant Prostate Diseases by Including and Quantifying PLA2R1 Epialleles

There was also an improved distinction between healthy subjects and prostate cancer patients in the determination and quantification of PLA2R1 epialleles. Where three epiallele fractions were included in the determination (see FIG. 27), only 4 out of the 40 PCa patients (P1, P5, P21 and P30; fractional methylation abundance cut-off value of <3.25%) could be clearly distinguished from the healthy subjects (Table 12). Where only the homogeneously methylated PLA2R1 epialleles, i.e. three out of three CpG sites methylated, were determined and quantified (see FIG. 28), 5 out of the 40 PCa patients could be identified (P1, P12, P17, P21 and P30; fractional methylation abundance cut-off value of <0.011%; Table 12). Interestingly, when only homogeneously methylated PLA2R1 epialleles were included and quantified, P12 and P17 were identified as PCa patients, yet P5 was not, even though P5 had been identified as such when three PLA2R1 epialleles were included previously.

By contrast, P1, P21 and P30, as well as P5, P12 and P17, and P15, P33, P34 and P38 were identified as PCa patients when two of the PLA2R1 epialleles (homogeneously and heterogeneously methylated epialleles having two out of three CpG sites methylated) were quantified, i.e. 10 out of the 40 PCa patients were identified to a diagnostic specificity of 100% (fractional methylation abundance cut-off value of <0.123%; Table 12). Since there was only 200 μl serum available for these tests, the diagnostic sensitivity of 25% achieved here when two PLA2R1 epialleles were included can be increased further by using a greater volume of serum and/or when combined with other gene sequences.

TABLE 12 Overview of the determination of the PLA2R1 methylation levels in serum samples from healthy subjects (K1-20) and prostate cancer patients (P1-40) when one, two or three PLA2R1 epialleles are included (FIG. 27-29). The number of copies per 20 μl, ratio (ratio of methylated to unmethylated), FM (fractional methylation, i.e. the proportion of methylated fragments against unmethylated fragments) and TH (thresholds) are listed. Values in bold are elevated methylation values compared with the cut-off values. M: methylated, U: unmethylated DNA fragments and NTC: negative control with no DNA template 3 epialleles included 1 epiallele included 2 epialleles included Copies/ Copies/ Copies/ ID Target 20 μl Ratio FM TH 20 μl Ratio FM TH 20 μl Ratio FM TH K1 M 904 0.0203 1.99 6669 0 0 0 12799 40 0.00091 0.091 10415 U 44600 3200 44600 3200 44600 3212 K2 M 816 0.0108 1.07 6669 0 0 0 12799 0 0 0 10415 U 75600 3200 75600 3200 75400 3212 K3 M 966 0.0105 1.04 6669 0 0 0 12799 0 0 0 10415 U 92000 3200 92000 3200 91800 3212 K4 M 2900 0.0315 3.05 6669 0 0 0 12799 24 0.00026 0.026 10415 U 91800 3200 91800 3200 91600 3212 K5 M 1300 0.013 1.29 6669 0 0 0 12799 0 0 0 10415 U 99600 3200 99600 3200 99400 3212 K6 M 200 0.0026 0.26 6669 0 0 0 12799 0 0 0 10415 U 77600 3200 77600 3200 77600 3212 K7 M 266 0.0031 0.31 6669 0 0 0 12799 0 0 0 10415 U 84800 3200 84800 3200 84600 3212 K8 M 712 0.008 0.79 6669 0 0 0 12799 0 0 0 10415 U 89600 3200 89600 3200 89400 3212 K9 M 2060 0.0299 2.91 6669 2.2 3.00E−05 0.003 12799 18 0.00026 0.026 10415 U 68600 3200 68600 3200 68400 3212 K10 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 74000 3200 74000 3200 73800 3212 K11 M 3.4 5.00E−05 0.005 6669 0 0 0 12799 0 0 0 10415 U 72000 3200 72000 3200 71800 3212 K12 M 1110 0.0124 1.22 6669 0 0 0 12799 4.6 5.00E−05 0.005 10415 U 90000 3200 90000 3200 89600 3212 K13 M 20 0.00025 0.025 6669 0 0 0 12799 0 0 0 10415 U 77800 3200 77800 3200 77600 3212 K14 M 814 0.012 1.19 6669 0 0 0 12799 1.8 2.6E−05 0.0026 10415 U 68000 3200 68000 3200 67800 3212 K15 M 786 0.0112 1.11 6669 0 0 0 12799 0 0 0 10415 U 70200 3200 70200 3200 70000 3212 K16 M 10 0.00014 0.014 6669 0 0 0 12799 0 0 0 10415 U 77000 3200 77000 3200 76600 3212 K17 M 218 0.0023 0.23 6669 0 0 0 12799 0 0 0 10415 U 94600 3200 94600 3200 94200 3212 K18 M 162 0.0022 0.21 6669 0 0 0 12799 0 0 0 10415 U 75400 3200 75400 3200 75400 3212 K19 M 48 0.0006 0.06 6669 0 0 0 12799 0 0 0 10415 U 79600 3200 79600 3200 79400 3212 K20 M 2160 0.0336 3.25 6669 7.2 0.00011 0.011 12799 78 0.00123 0.123 10415 U 64000 3200 64000 3200 64000 3212 P1 M 940 0.09 8.2 6669 288 0.0275 2.67 12799 590 0.056 5.3 10415 U 10480 3200 10480 3200 10460 3212 P2 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 51800 3200 51800 3200 51800 3212 P3 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 27940 3200 27940 3200 27940 3212 P4 M 564 0.0134 1.32 6669 0 0 0 12799 52 0.0012 0.12 10415 U 42200 3200 42200 3200 42200 3212 P5 M 1520 0.061 5.76 6669 2.4 9.00E−05 0.009 12799 394 0.0158 1.55 10415 U 24980 3200 24980 3200 24960 3212 P6 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 7000 3200 7000 3200 7000 3212 P7 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 21000 3200 21000 3200 20980 3212 P8 M 2360 0.0301 2.92 6669 0 0 0 12799 30 0.00038 0.038 10415 U 78600 3200 78600 3200 78400 3212 P9 M 1360 0.0159 1.57 6669 7.8 9.00E−05 0.009 12799 50 0.00058 0.058 10415 U 85400 3200 85400 3200 84800 3212 P10 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 5200 3200 5200 3200 5200 3212 P11 M 790 0.0133 1.31 6669 3.8 6.00E−05 0.006 12799 30 0.00051 0.051 10415 U 59400 3200 59400 3200 59200 3212 P12 M 1920 0.0267 2.6 6669 20 0.00029 0.029 12799 166 0.0023 0.23 10415 U 71800 3200 71800 3200 71600 3212 P13 M 710 0.0126 1.24 6669 0 0 0 12799 64 0.00112 0.112 10415 U 56400 3200 56400 3200 56400 3212 P14 M 4.2 0.00018 0.018 6669 0 0 0 12799 4.2 0.00018 0.018 10415 U 23480 3200 23480 3200 23460 3212 P15 M 634 0.0334 3.24 6669 0 0 0 12799 250 0.0132 1.3 10415 U 18960 3200 18960 3200 18920 3212 P16 M 4.8 8.00E−05 0.008 6669 0 0 0 12799 0 0 0 10415 U 60600 3200 60600 3200 60400 3212 P17 M 762 0.0283 2.75 6669 176 0.0066 0.65 12799 432 0.0161 1.58 10415 U 26900 3200 26900 3200 26860 3212 P18 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 22080 3200 22080 3200 22060 3212 P19 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 43580 3200 43580 3200 43460 3212 P20 M 34 0.00031 0.031 6669 0 0 0 12799 0 0 0 10415 U 107200 3200 107200 3200 106400 3212 P21 M 1580 0.069 6.42 6669 202 0.0088 0.87 12799 700 0.0305 2.96 10415 U 23000 3200 23000 3200 23000 3212 P22 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 9060 3200 9060 3200 9060 3212 P23 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 5420 3200 5420 3200 5420 3212 P24 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 992 3200 992 3200 992 3212 P25 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 342 3200 342 3200 342 3212 P26 M 1.8 0.00012 0.012 6669 0 0 0 12799 1.8 0.00012 0.012 10415 U 15740 3200 15740 3200 15720 3212 P27 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 500 3200 500 3200 500 3212 P28 M 890 0.0108 1.06 6669 0 0 0 12799 4.2 5.00E−05 0.005 10415 U 82800 3200 82800 3200 82400 3212 P29 M 680 0.0114 1.13 6669 0 0 0 12799 26 0.00044 0.044 10415 U 59400 3200 59400 3200 59400 3212 P30 M 2360 0.0585 5.53 6669 64 0.0016 0.16 12799 454 0.0112 1.11 10415 U 40440 3200 40440 3200 40400 3212 P31 M 244 0.0032 0.32 6669 0 0 0 12799 0 0 0 10415 U 77200 3200 77200 3200 77000 3212 P32 M 3.4 0.00019 0.019 6669 0 0 0 12799 3.4 0.00019 0.019 10415 U 18480 3200 18480 3200 18460 3212 P33 M 454 0.0244 2.38 6669 0 0 0 12799 152 0.0081 0.81 10415 U 18660 3200 18660 3200 18640 3212 P34 M 654 0.0178 1.74 6669 0 0 0 12799 46 0.0013 0.13 10415 U 36840 3200 36840 3200 36820 3212 P35 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 46000 3200 46000 3200 46000 3212 P36 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 28920 3200 28920 3200 28900 3212 P37 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 82 3200 82 3200 72 3212 P38 M 676 0.0279 2.71 6669 0 0 0 12799 148 0.0061 0.61 10415 U 24240 3200 24240 3200 24200 3212 P39 M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 73000 3200 73000 3200 72800 3212 P40 M 62 0.0026 0.26 6669 0 0 0 12799 14 0.00062 0.062 10415 U 23440 3200 23440 3200 23420 3212 NTC M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 3200 0 3200 0 3212 NTC M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 3200 0 3200 0 3212 NTC M 0 0 0 6669 0 0 0 12799 0 0 0 10415 U 3200 0 3200 0 3212

Since there is enough DNA isolated from cell lines, which is often not the case in liquid biopsies such as serum, plasma or seminal fluid, the question arose as to how the fractional PLA2R1 methylation abundance in normal PrEC and BPH-1 cells in which homogeneously and heterogeneously methylated epiallele copies occurred separately would behave following BBPA-dPCR compared with dPCR alone. Compared with dPCR alone (left side of FIG. 30), after 50 pre-amplification cycles at 63° C., the resultant PLA2R1 methylation level moved towards 0% in normal PrEC and non-malignant BPH-1 cells in this case too, and the methylation of malignant prostate cancer cell lines could be clearly distinguished from the BPH-1 cell line (right side of FIG. 30). This is again because of the phenomenon whereby the unmethylated sequences in the PrEC and BPH-1 cells were copied to a greater extent as the number of BBPA cycles increased, despite the samples containing a certain number of methylated PLA2R1 fragments, albeit a small quantity, and without the methylated fragments being copied to the same extent (FIG. 31). Conversely, the LNCaP and DU-145 cell DNA samples showed a clearly preferable amplification of the methylated sequences over the unmethylated sequences. In the PC-3 cells, the methylated and unmethylated PLA2R1 sequences were copied in a more or less comparably efficient manner (FIG. 31).

The 2D view of the FAM-positive and HEX-positive signals after 50 BBPA cycles demonstrated that the BPH-1 cell population could be clearly set apart from the PC-3, LNCaP and DU-145 cells (FIG. 32). Without showing the NTC, i.e. the double-negative droplets, it was also found that after 50 cycles there were no longer any double-negative droplets in all cell samples. This means that the dPCR was heavily overloaded with pre-amplified DNA copies and the Poisson distribution and statistics no longer applied, and the malignant prostate cell lines could be separated so effectively from BPH-1 despite this or precisely because of this (FIG. 33). In dPCR alone, fractional methylation levels of 2.1% (1.1-3.1%) and 8.3% (7.0-9.5%) were still produced for PrEC and BPH-1, respectively. In BBPA-dPCR, the methylation level in both cell lines was 0%, whereas the methylation level for the malignant prostate cell lines LNCaP, PC-3 and DU-145 correlated well with the data from dPCR alone (Table 20).

Embodiment 9: Determining the Bias in Favour of Methylated and Unmethylated PLA2R1 Gene Sequences According to Primer Design, Annealing Temperature, MgCl₂ Concentration and Number of BBPA Cycles

On the basis of tests carried out on the PLA2R1 gene and different primer pairs and using dPCR, it was possible to show how the PCR bias for methylated DNA sequences over unmethylated DNA sequences varied depending on the MgCl₂ concentrations and annealing temperatures. Using these results, it is possible to develop new test systems for each gene to be tested in which individual tumour DNA fragments are detected to a highly sensitive and specific degree, even against a large background of wild-type DNA. By accordingly adjusting the MgCl₂ concentration, annealing temperatures, number of cycles and primer design, the rates at which methylated and unmethylated sequences are amplified can be adjusted such as to produce an optimum bias depending on whether methylated or unmethylated sequences are to be used as the target for identifying tumour-specific DNA. Where unmethylated sequences are the target of interest, primer pairs having no CpG sites are preferably used. If this is not possible due to the gene sequences, primers should be designed such as to contain as few CpG sequences as possible and with these generally arranged towards the 5′ end of the primer. In addition, the MgCl₂ concentrations and annealing temperatures should be set such that unmethylated sequences are preferably copied over methylated sequences.

For example, when using samples having 50% methylated and 50% unmethylated DNA copies and the primer pair having no CpG sites (primer pair 168 bp) at an MgCl₂ concentration of 1.5 mM over the entire temperature range of from 50-63° C., bias in favour of unmethylated DNA sequences was shown (FIG. 34). At an MgCl₂ concentration of 2.5-4.5 mM, there was no significant bias detectable for this primer pair. For this primer pair and an MgCl₂ concentration of 6.0 mM, and in particular of 8.0 mM, there was, however, a clear bias in favour of methylated DNA sequences in the temperature ranges of from 58.2-60.8° C. and of from 55.1-63.0° C., respectively (FIG. 34).

When using primer pairs having one CpG site (PL-161 bp) or two CpG sites (PL-150 bp), there was a bias towards methylated sequences compared with primers having no CpG sites (PL-168 bp); the level of this bias can be adjusted accordingly by means of the MgCl₂ concentration and annealing temperature (FIGS. 35 and 36).

The greatest bias was found when the primers contained four CpG sites, in which one cytosine group was arranged directly at the 3′ end of a primer, the amplification efficiency dropping significantly depending on the selected MgCl₂ concentration as the annealing temperatures were increased (FIG. 37). For example, at an MgCl₂ concentration of 1.5 mM, the amplification efficiency for methylated sequences dropped continuously once the annealing temperature rose above 52.6° C. (FIG. 37).

Bias in favour of methylated DNA sequences depending on the primer design, annealing temperature and MgCl₂ concentration was also shown for the RASSF1A and GSTP1 primers (Table 21 and 22).

Embodiment 10: Analytical Sensitivity and Specificity of BBPA-dPCR According to Primer Design, Annealing Temperature, MgCl₂ Concentration and Number of BBPA Cycles

To determine the conditions under which the greatest analytical sensitivity can be achieved, in particular against a large background of wild-type DNA and without increasing numbers of false-positive signals (a basic requirement for the test procedure to have high analytical and diagnostic sensitivity), test samples were generated containing a small proportion of methylated DNA fragments (DNA from U937 leukaemia cells) compared with an increasing proportion of normal wild-type DNA. To do so, genomic DNA from healthy subjects' blood leucocytes was amplified in a PCR. In this way, it was possible to generate samples that contained a sufficiently large quantity of unmethylated, normal wild-type DNA and to which no methylated DNA or only small quantities of methylated DNA were added, i.e. 5, 10, 20 or 3000 copies of methylated DNA fragments. The background was formed by 70,000, 175,000, 350,000 and 700,000 copies of unmethylated DNA. In samples having 700,000 unmethylated DNA fragments, for example, the resultant proportions of methylated PLA2R1 DNA fragments were 0%, 0.0007%, 0.0014%, 0.0028% and 0.43%.

In a subsequent dPCR, i.e. without pre-amplification beforehand, when primer pairs having no CpG sites (PLA2R1 168 bp) and four CpG sites (PLA2R1 133 bp) were used, it was found that the methylated copies were easily detectable in the samples having 70,000 unmethylated copies using both primer pairs (Tables 23 and 24). When the unmethylated copies were increased further, i.e. in the samples having 175,000, 350,000 and 700,000 unmethylated copies, and the primer pair having no CpG sites was used, an increasingly lower number of the 3,000 methylated DNA fragments was detected (from 2,780 with 70,000 unmethylated copies, to 1,968, 560 and 114 methylated copies, respectively, as the unmethylated copies increased to 175,000, 350,000 and 700,000; Table 23). A similar drop was also observed when this primer pair was used in the samples having 5, 10 and 20 copies of methylated DNA (Table 23). By contrast, when the primer pair having four CpG sites was used (PLA2R1 133 bp), all 3,000 copies of methylated DNA were detectable even in the samples having 175,000, 350,000 and 700,000 unmethylated copies (Table 24). However, the low concentrations of methylated DNA fragments could not be reliably detected here either as the background of unmethylated DNA increased (Table 24).

Next, therefore, investigations were carried out as to the conditions under which improved sensitivity for detecting low concentrations of tumour DNA against a large background of wild-type DNA could be achieved without generating greater numbers of false-positive signals. This implies that the values obtained in the samples having no copies of methylated DNA are clearly distinguished from those having just five copies of methylated DNA.

When using the primer pairs having one CpG site (PLA2R1 168 bp) or two CpG sites (PLA2R1 150 bp) compared with the primer pair having no CpG sites (PLA2R1 168 bp), increased analytical sensitivity was detectable following 15 pre-amplification cycles at an annealing temperature of 63° C. and an MgCl₂ concentration of 2.5 mM (Table 25 and 26).

In this case, however, increased sensitivity and in particular considerably better analytical specificity was also surprisingly shown for the primer pair having four CpG sites (PLA2R1 133 bp) when the MgCl₂ concentration and annealing temperature were selected accordingly. While only the 3,000 methylated copies could be detected at an MgCl₂ concentration of 6.0 mM and an annealing temperature of 50° C., and not the 5, 10 and 20 copies of methylated DNA, it was possible to distinguish between the samples having the low proportion of methylated DNA when the MgCl₂ concentration was reduced to 1.5 mM and the annealing temperature remained at 50° C. (Tables 27 and 29). By comparison, if the annealing temperature was increased to 63° C. and the MgCl₂ concentration left at 1.5 mM, the samples having no copies and five copies of methylated DNA against a background of 700,000 unmethylated DNA copies could not be distinguished from one another after 15 cycles or 50 cycles (Tables 28 and 29). This changed when the MgCl₂ concentration was increased to 6.0 mM at an annealing temperature of 63° C. In this case, increased analytical sensitivity and specificity was found in all samples after 15 cycles when the primer pair having four CpG sites (PLA2R1 133 bp) was used. If the number of cycles was increased from 15 to 50, i.e. the CPC (copies per compartment) was far beyond the maximum of 8 recommended in the prior art [9], the best results in terms of analytical sensitivity and specificity were found; these were 100% in each case. While the signals from the samples having no methylated copies could be already be unambiguously and significantly distinguished from those having five copies of methylated DNA after 15 cycles, none of the samples having no copies of methylated DNA showed positive signals after 50 cycles (with the exception of the sample containing 350,000 copies of unmethylated DNA, in which case one droplet out of the total of 16,235 droplets showed a false positive for FAM signals), whereas significantly elevated FAM signals could be detected in all the other samples containing methylated DNA fragments (Tables 28 and 30; FIG. 38-45).

The reason for the high analytical sensitivities and specificities achieved under the selected reaction conditions could be a special competition reaction among the primers having four CpG sites, in which a cytosine group is located directly at the 3′ end (PLA2R1 133 bp), for the methylated and unmethylated DNA fragments. For example, it can be seen in the 2D graphic that, after 50 pre-amplification cycles, the 70,000 unmethylated DNA copies only led to one positive HEX signal when there were absolutely no copies of methylated DNA in the initial samples (FIGS. 38 and 39). Even five copies of methylated DNA prevented 70,000 copies of unmethylated DNA leading to an increase in HEX signals after 50 pre-amplification cycles. If the number of copies of unmethylated DNA was increased to 175,000, ten copies of methylated DNA (no longer five) were sufficient to fully prevent positive HEX signals being generated (FIGS. 40 and 41). If the unmethylated DNA copies were increased further to 350,000 and 700,000, ultimately only the 3,000 copies of methylated DNA were sufficient to prevent the generation of positive HEX signals (FIGS. 42 and 44). Under these strict reaction conditions, the competition reaction appears to prevent false-positive signals; this was not the case previously with PCR using methyl-specific primers MSP [4, 16-19]. If account is taken of the large signal differences between the samples having five or no copies of methylated PLA2R1 DNA fragments against backgrounds of 700,000 unmethylated DNA copies (FIG. 44), it can be assumed that even a single methylated PLA2R1 fragment can be reliably detected using the primer pair having four CpG sites (PLA2R1 133 bp) at an MgCl₂ concentration of 6.0 mM and a temperature of 63° C. This would result in an analytical sensitivity of 1 to 700,000 (ratio of 1.4×10⁻⁶) or a methylation level of 0.00014%.

TABLE 13 FAM signals (methylated GSTP1 DNA fragments) and HEX signals (unmethylated GSTP1 DNA fragments) in serum samples from healthy subjects (GF1-GF20), serum samples from female breast cancer patients (MF1-MF20) and non-template control (NTC, no DNA or genomic DNA, without bisulphite conversion) after 15 BBPA cycles using the GSTP1 120 bp primers (SEQ ID: 5 and 6) at an MgCl₂ concentration of 2.5 mM and a temperature of 50.7° C., and subsequent dPCR. Cut-off value: <0.07%; raw data for FIG. 55. Copies/ Ch1+ Ch1+ Ch1− Ch1− Number of Fractional Pos. Sample 20 μl Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance Threshold A01 GM1 0 0 11659 0 0 9615 2044 11659 0 0 3979 A01 40960 9615 2044 0 0 9615 2044 11659 2133 B01 GM2 9.2 5 12808 3 2 7860 4948 12813 0.00041 0.041 3979 B01 22380 7863 4950 3 2 7860 4948 12813 2133 C01 GM3 9.6 5 12273 4 1 9038 3235 12278 0.00031 0.031 3979 C01 31380 9042 3236 4 1 9038 3235 12278 2133 D01 GM4 0 0 12271 0 0 10748 1523 12271 0 0 3979 D01 49000 10748 1523 0 0 10748 1523 12271 2133 E01 GMS 0 0 13518 0 0 12481 1037 13518 0 0 3979 E01 60400 12481 1037 0 0 12481 1037 13518 2133 F01 GM6 0 0 10542 0 0 9441 1101 10542 0 0 3979 F01 53200 9441 1101 0 0 9441 1101 10542 2133 G01 GM7 7.8 4 12116 2 2 8646 3470 12120 0.00026 0.026 3979 G01 29420 8648 3472 2 2 8646 3470 12120 2133 H01 GM8 3.8 2 12457 1 1 11087 1370 12459 7.00E−05 0.007 3979 H01 52000 11088 1371 1 1 11087 1370 12459 2133 A02 GM9 0 0 12452 0 0 10674 1778 12452 0 0 3979 A02 45800 10674 1778 0 0 10674 1778 12452 2133 B02 GM10 0 0 12588 0 0 11275 1313 12588 0 0 3979 B02 53200 11275 1313 0 0 11275 1313 12588 2133 C02 GM11 0 0 12385 0 0 11107 1278 12385 0 0 3979 C02 53400 11107 1278 0 0 11107 1278 12385 2133 D02 GM12 5.6 3 12540 2 1 10747 1793 12543 0.00012 0.012 3979 D02 45800 10749 1794 2 1 10747 1793 12543 2133 E02 GM13 0 0 11600 0 0 10610 990 11600 0 0 3979 E02 58000 10610 990 0 0 10610 990 11600 2133 F02 GM14 19.2 10 12310 6 4 8428 3882 12320 0.0007 0.07 3979 F02 27140 8434 3886 6 4 8428 3882 12320 2133 G02 GM15 9.8 5 12025 4 1 9614 2411 12030 0.00026 0.026 3979 G02 37820 9618 2412 4 1 9614 2411 12030 2133 H02 GM16 1.6 1 13960 1 0 12996 964 13961 2.7E−05 0.0027 3979 H02 62800 12997 964 1 0 12996 964 13961 2133 A03 GM17 13.2 7 12464 5 2 9108 3356 12471 0.00043 0.043 3979 A03 30880 9113 3358 5 2 9108 3356 12471 2133 B03 GM18 3.8 2 12154 0 2 6479 5675 12156 0.00022 0.022 3979 B03 17920 6479 5677 0 2 6479 5675 12156 2133 C03 GM19 1.8 1 12487 0 1 7424 5063 12488 9.00E−05 0.009 3979 C03 21240 7424 5064 0 1 7424 5063 12488 2133 D03 GM20 0 0 14041 0 0 11809 2232 14041 0 0 3979 D03 43280 11809 2232 0 0 11809 2232 14041 2133 E03 ddNTC 0 0 11889 0 0 2 11887 11889 0 0 3979 E03 4 2 11887 0 0 2 11887 11889 2133 F03 ddNTC 0 0 13770 0 0 1 13769 13770 0 0 3979 F03 1.8 1 13769 0 0 1 13769 13770 2133 G03 ddNTC 0 0 12580 0 0 11 12569 12580 0 0 3979 G03 20 11 12569 0 0 11 12569 12580 2133 H03 ddNTC 0 0 12067 0 0 4 12063 12067 0 0 3979 H03 7.8 4 12063 0 0 4 12063 12067 2133 A04 PPCa1 9.8 5 11906 3 2 8509 3397 11911 0.00033 0.033 3979 A04 29500 8512 3399 3 2 8509 3397 11911 2133 B04 PPCa2 2 1 12218 0 1 6498 5720 12219 0.00011 0.011 3979 B04 17860 6498 5721 0 1 6498 5720 12219 2133 C04 PPCa3 2580 1356 11727 389 967 2516 9211 13083 0.436 30.4 3979 C04 5900 2905 10178 389 967 2516 9211 13083 2133 D04 PPCa4 696 380 12663 110 270 7269 5394 13043 0.0354 3.42 3979 D04 19620 7379 5664 110 270 7269 5394 13043 2133 E04 PPCa5 2.6 1 8926 1 0 4 8922 8927 0 0 3979 E04 14 5 8922 1 0 4 8922 8927 2133 F04 PPCa6 0 0 13126 0 0 11605 1521 13126 0 0 3979 F04 50800 11605 1521 0 0 11605 1521 13126 2133 G04 PPCa7 76 40 12261 32 8 7991 4270 12301 0.0031 0.31 3979 G04 24860 8023 4278 32 8 7991 4270 12301 2133 H04 PPCa8 226 118 12178 96 22 7170 5008 12296 0.0108 1.07 3979 H04 21040 7266 5030 96 22 7170 5008 12296 2133 A05 PPCa9 11.4 6 12345 4 2 8044 4301 12351 0.00046 0.046 3979 A05 24800 8048 4303 4 2 8044 4301 12351 2133 B05 PPCa10 5 3 13879 0 3 7226 6653 13882 0.00029 0.029 3979 B05 17300 7226 6656 0 3 7226 6653 13882 2133 C05 PPCa11 0 0 13220 0 0 7999 5221 13220 0 0 3979 C05 21860 7999 5221 0 0 7999 5221 13220 2133 D05 PPCa12 3.8 2 12680 1 1 9583 3097 12682 0.00011 0.011 3979 D05 33160 9584 3098 1 1 9583 3097 12682 2133 E05 PPCa13 26 16 14337 0 16 4798 9539 14353 0.0027 0.27 3979 E05 9580 4798 9555 0 16 4798 9539 14353 2133 F05 PPCa14 3.6 2 13179 0 2 7233 5946 13181 0.00019 0.019 3979 F05 18720 7233 5948 0 2 7233 5946 13181 2133 G05 PPCa15 210 100 11137 9 91 4348 6789 11237 0.0182 1.79 3979 G05 11540 4357 6880 9 91 4348 6789 11237 2133 H05 PPCa16 9 5 12963 3 2 8580 4383 12968 0.00036 0.036 3979 H05 25520 8583 4385 3 2 8580 4383 12968 2133 A06 PPCa17 316 202 14943 101 101 6978 7965 15145 0.0213 2.09 3979 A06 14820 7079 8066 101 101 6978 7965 15145 2133 B06 PPCa18 8.6 5 13773 3 2 5824 7949 13778 0.0007 0.07 3979 B06 12940 5827 7951 3 2 5824 7949 13778 2133 C06 PPCa19 7.4 4 12673 0 4 4727 7946 12677 0.0007 0.07 3979 C06 10980 4727 7950 0 4 4727 7946 12677 2133 D06 PPCa20 24 14 13839 0 14 4895 8944 13853 0.0023 0.23 3979 D06 10260 4895 8958 0 14 4895 8944 13853 2133 E06 gDNA 15 14.6 8 12975 0 8 879 12096 12983 0.009 0.9 3979 E06 1640 879 12104 0 8 879 12096 12983 2133 F06 NTC 15 0 0 13676 0 0 53 13623 13676 0 0 3979 F06 92 53 13623 0 0 53 13623 13676 2133

TABLE 14 FAM signals (methylated GSTP1 DNA fragments) and HEX signals (unmethylated GSTP1 DNA fragments) in serum samples from healthy subjects (GF1-GF20), serum samples from female breast cancer patients (MF1-MF20) and non-template control (NTC, no DNA or genomic DNA, without bisulphite conversion) after 15 BBPA cycles using the GSTP1 116 bp primers (SEQ ID: 93 and 94) at an MgCl₂ concentration of 4.5 mM and a temperature of 53.8° C., and subsequent dPCR. Cut-off value: <0.023%; raw data for FIG. 56. Copies/ Ch1+ Ch1+ Ch1− Ch1− Number of Fractional Pos. Sample 20 μl Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance Threshold A01 GM1 1.4 1 15767 0 1 7390 8377 15768 0.0001 0.01 2927 A01 14880 7390 8378 0 1 7390 8377 15768 1705 B01 GM2 0 0 14360 0 0 2251 12109 14360 0 0 2927 B01 4020 2251 12109 0 0 2251 12109 14360 1705 C01 GM3 0 0 14640 0 0 6362 8278 14640 0 0 2927 C01 13420 6362 8278 0 0 6362 8278 14640 1705 D01 GM4 0 0 14771 0 0 10267 4504 14771 0 0 2927 D01 27940 10267 4504 0 0 10267 4504 14771 1705 E01 GMS 0 0 14872 0 0 11131 3741 14872 0 0 2927 E01 32480 11131 3741 0 0 11131 3741 14872 1705 F01 GM6 1.8 1 13135 0 1 7488 5647 13136 9.00E−05 0.009 2927 F01 19860 7488 5648 0 1 7488 5647 13136 1705 G01 GM7 0 0 13798 0 0 3363 10435 13798 0 0 2927 G01 6580 3363 10435 0 0 3363 10435 13798 1705 H01 GM8 0 0 13949 0 0 4887 9062 13949 0 0 2927 H01 10140 4887 9062 0 0 4887 9062 13949 1705 A02 GM9 0 0 12667 0 0 6686 5981 12667 0 0 2927 A02 17660 6686 5981 0 0 6686 5981 12667 1705 B02 GM10 0 0 13982 0 0 10312 3670 13982 0 0 2927 B02 31480 10312 3670 0 0 10312 3670 13982 1705 C02 GM11 2 1 12293 1 0 3608 8685 12294 0.00023 0.023 2927 C02 8180 3609 8685 1 0 3608 8685 12294 1705 D02 GM12 0 0 13369 0 0 3709 9660 13369 0 0 2927 D02 7640 3709 9660 0 0 3709 9660 13369 1705 E02 GM13 0 0 11019 0 0 7254 3765 11019 0 0 2927 E02 25260 7254 3765 0 0 7254 3765 11019 1705 F02 GM14 0 0 13031 0 0 4748 8283 13031 0 0 2927 F02 10660 4748 8283 0 0 4748 8283 13031 1705 G02 GM15 0 0 15122 0 0 4572 10550 15122 0 0 2927 G02 8480 4572 10550 0 0 4572 10550 15122 1705 H02 GM16 0 0 12342 0 0 5999 6343 12342 0 0 2927 H02 15660 5999 6343 0 0 5999 6343 12342 1705 A03 GM17 0 0 14605 0 0 2825 11780 14605 0 0 2927 A03 5060 2825 11780 0 0 2825 11780 14605 1705 B03 GM18 0 0 12935 0 0 3736 9199 12935 0 0 2927 B03 8020 3736 9199 0 0 3736 9199 12935 1705 C03 GM19 0 0 12230 0 0 4769 7461 12230 0 0 2927 C03 11620 4769 7461 0 0 4769 7461 12230 1705 D03 GM20 0 0 12400 0 0 7509 4891 12400 0 0 2927 D03 21880 7509 4891 0 0 7509 4891 12400 1705 E03 ddNTC 0 0 13014 0 0 1 13013 13014 0 0 2927 E03 1.8 1 13013 0 0 1 13013 13014 1705 F03 ddNTC 0 0 13618 0 0 2 13616 13618 0 0 2927 F03 3.4 2 13616 0 0 2 13616 13618 1705 G03 ddNTC 0 0 12250 0 0 0 12250 12250 0 0 2927 G03 0 0 12250 0 0 0 12250 12250 1705 H03 ddNTC 0 0 12222 0 0 2 12220 12222 0 0 2927 H03 3.8 2 12220 0 0 2 12220 12222 1705 A04 PPCa1 166 87 12317 5 82 1552 10765 12404 0.052 5 2927 A04 3160 1557 10847 5 82 1552 10765 12404 1705 B04 PPCa2 716 372 12047 27 345 3074 8973 12419 0.106 9.6 2927 B04 6760 3101 9318 27 345 3074 8973 12419 1705 C04 PPCa3 69400 9844 546 7 9837 0 546 10390 4400 99.977 2927 C04 16 7 10383 7 9837 0 546 10390 1705 D04 PPCa4 5720 2688 9783 36 2652 602 9181 12471 4.62 82.2 2927 D04 1236 638 11833 36 2652 602 9181 12471 1705 E04 PPCa5 1.8 1 12478 0 1 1634 10844 12479 0.0006 0.06 2927 E04 3300 1634 10845 0 1 1634 10844 12479 1705 F04 PPCa6 0 0 11920 0 0 8589 3331 11920 0 0 2927 F04 30000 8589 3331 0 0 8589 3331 11920 1705 G04 PPCa7 26300 8374 4070 496 7878 994 3076 12444 8.76 89.8 2927 G04 3000 1490 10954 496 7878 994 3076 12444 1705 H04 PPCa8 33740 9434 2953 937 8497 761 2192 12387 9.7 90.68 2927 H04 3460 1698 10689 937 8497 761 2192 12387 1705 A05 PPCa9 0 0 12183 0 0 3952 8231 12183 0 0 2927 A05 9220 3952 8231 0 0 3952 8231 12183 1705 B05 PPCa10 0 0 12193 0 0 15 12178 12193 0 0 2927 B05 28 15 12178 0 0 15 12178 12193 1705 C05 PPCa11 1000 136 3161 32 104 977 2184 3297 0.115 10.3 2927 C05 8600 1009 2288 32 104 977 2184 3297 1705 D05 PPCa12 9060 3807 8097 316 3491 2737 5360 11904 1.3 56.5 2927 D05 6980 3053 8851 316 3491 2737 5360 11904 1705 E05 PPCa13 0 0 13326 0 0 852 12474 13326 0 0 2927 E05 1560 852 12474 0 0 852 12474 13326 1705 F05 PPCa14 342 180 12273 21 159 2173 10100 12453 0.075 7 2927 F05 4560 2194 10259 21 159 2173 10100 12453 1705 G05 PPCa15 1364 733 12280 6 727 357 11923 13013 2.05 67.2 2927 G05 666 363 12650 6 727 357 11923 13013 1705 H05 PPCa16 508 265 12143 18 247 3706 8437 12408 0.06 5.7 2927 H05 8400 3724 8684 18 247 3706 8437 12408 1705 A06 PPCa17 8280 3811 9026 94 3717 853 8173 12837 4.6 82.1 2927 A06 1800 947 11890 94 3717 853 8173 12837 1705 B06 PPCa18 0 0 12031 0 0 2732 9299 12031 0 0 2927 B06 6060 2732 9299 0 0 2732 9299 12031 1705 C06 PPCa19 0 0 11204 0 0 2358 8846 11204 0 0 2927 C06 5560 2358 8846 0 0 2358 8846 11204 1705 D06 PPCa20 0 0 12688 0 0 1224 11464 12688 0 0 2927 D06 2380 1224 11464 0 0 1224 11464 12688 1705 E06 gDNA 15 0 0 12039 0 0 1 12038 12039 0 0 2927 E06 2 1 12038 0 0 1 12038 12039 1705 G06 NTC 15 0 0 13354 0 0 1 13353 13354 0 0 2927 G06 1.8 1 13353 0 0 1 13353 13354 1705

TABLE 15 FAM signals (methylated SERPINE1 DNA fragments) and HEX signals (unmethylated SERPINE1 DNA fragments) in serum samples from healthy subjects (GF1-GF20), serum samples from female breast cancer patients (MF1-MF20) and non-template control (NTC, no DNA or genomic DNA, without bisulphite conversion) after 15 BBPA cycles using the SERPINE1 123 bp primers (SEQ ID: 16 and 17) at an MgCl₂ concentration of 3.5 mM and a temperature of 52.0° C., and subsequent dPCR. Cut-off value: <25.9%; raw data for FIG. 57. Copies/ Ch1+ Ch1+ Ch1− Ch1− Number of Fractional Pos. Sample 20 μl Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance Threshold A01 GM1 20 12 14245 4 8 1132 13113 14257 0.01 1 3576 A01 1960 1136 13121 4 8 1132 13113 14257 3908 B01 GM2 2 1 12114 0 1 487 11627 12115 0.002 0.2 3576 B01 966 487 11628 0 1 487 11627 12115 3908 C01 GM3 24 15 14517 3 12 1088 13429 14532 0.013 1.3 3576 C01 1840 1091 13441 3 12 1088 13429 14532 3908 D01 GM4 210 102 11324 10 92 1724 9600 11426 0.054 5.2 3576 D01 3880 1734 9692 10 92 1724 9600 11426 3908 E01 GMS 18 11 14493 2 9 3160 11333 14504 0.0031 0.31 3576 E01 5780 3162 11342 2 9 3160 11333 14504 3908 F01 GM6 766 487 14709 36 451 1940 12769 15196 0.234 19 3576 F01 3280 1976 13220 36 451 1940 12769 15196 3908 G01 GM7 86 52 14280 0 52 455 13825 14332 0.113 10.1 3576 G01 760 455 13877 0 52 455 13825 14332 3908 H01 GM8 966 562 13412 51 511 1501 11911 13974 0.349 25.9 3576 H01 2780 1552 12422 51 511 1501 11911 13974 3908 A02 GM9 14 1 1724 0 1 0 1724 1725 0 0 3576 A02 0 0 1725 0 1 0 1724 1725 3908 B02 GM10 50 25 11855 4 21 2835 9020 11880 0.0077 0.77 3576 B02 6420 2839 9041 4 21 2835 9020 11880 3908 C02 GM11 5.2 3 13687 1 2 1253 12434 13690 0.0023 0.23 3576 C02 2260 1254 12436 1 2 1253 12434 13690 3908 D02 GM12 552 305 12830 43 262 851 11979 13135 0.333 25 3576 D02 1660 894 12241 43 262 851 11979 13135 3908 E02 GM13 102 58 13391 4 54 2469 10922 13449 0.021 2.1 3576 E02 4780 2473 10976 4 54 2469 10922 13449 3908 F02 GM14 304 140 10770 3 137 718 10052 10910 0.189 15.9 3576 F02 1600 721 10189 3 137 718 10052 10910 3908 G02 GM15 10.4 6 13536 1 5 589 12947 13542 0.01 1 3576 G02 1048 590 12952 1 5 589 12947 13542 3908 H02 GM16 10.4 6 13557 2 4 1605 11952 13563 0.0035 0.35 3576 H02 2960 1607 11956 2 4 1605 11952 13563 3908 A03 GM17 3.8 2 12274 0 2 287 11987 12276 0.007 0.7 3576 A03 556 287 11989 0 2 287 11987 12276 3908 B03 GM18 0 0 12516 0 0 530 11986 12516 0 0 3576 B03 1018 530 11986 0 0 530 11986 12516 3908 C03 GM19 36 24 15274 4 20 1133 14141 15298 0.02 2 3576 C03 1820 1137 14161 4 20 1133 14141 15298 3908 D03 GM20 10.4 6 13578 2 4 3671 9907 13584 0.0014 0.14 3576 D03 7420 3673 9911 2 4 3671 9907 13584 3908 A04 PPCa1 48 24 11619 4 20 327 11292 11643 0.072 6.7 3576 A04 678 331 11312 4 20 327 11292 11643 3908 B04 PPCa2 8.4 5 14014 0 5 383 13631 14019 0.013 1.3 3576 B04 652 383 13636 0 5 383 13631 14019 3908 C04 PPCa3 6440 3173 10077 283 2890 1916 8161 13250 1.51 60.1 3576 C04 4280 2199 11051 283 2890 1916 8161 13250 3908 D04 PPCa4 910 540 13698 0 540 158 13540 14238 3.5 77.6 3576 D04 262 158 14080 0 540 158 13540 14238 3908 E04 PPCa5 28 14 11907 0 14 257 11650 11921 0.054 5.1 3576 E04 512 257 11664 0 14 257 11650 11921 3908 F04 PPCa6 314 166 12345 15 151 2808 9537 12511 0.052 5 3576 F04 6020 2823 9688 15 151 2808 9537 12511 3908 G04 PPCa7 1560 859 12602 38 821 1295 11307 13461 0.63 38.7 3576 G04 2460 1333 12128 38 821 1295 11307 13461 3908 H04 PPCa8 2060 1070 11694 131 939 2340 9354 12764 0.407 28.9 3576 H04 5060 2471 10293 131 939 2340 9354 12764 3908 A05 PPCa9 44 25 13399 1 24 1095 12304 13424 0.022 2.1 3576 A05 2000 1096 12328 1 24 1095 12304 13424 3908 B05 PPCa10 9.8 5 12050 0 5 406 11644 12055 0.012 1.2 3576 B05 806 406 11649 0 5 406 11644 12055 3908 C05 PPCa11 4320 2523 12518 642 1881 3607 8911 15041 0.553 35.6 3576 C05 7820 4249 10792 642 1881 3607 8911 15041 3908 D05 PPCa12 758 509 15556 10 499 1073 14483 16065 0.461 31.6 3576 D05 1642 1083 14982 10 499 1073 14483 16065 3908 E05 PPCa13 256 155 14213 3 152 559 13654 14368 0.272 21.4 3576 E05 938 562 13806 3 152 559 13654 14368 3908 F05 PPCa14 624 394 14667 21 373 2408 12259 15061 0.151 13.1 3576 F05 4140 2429 12632 21 373 2408 12259 15061 3908 G05 PPCa15 50 29 13505 1 28 313 13192 13534 0.091 8.4 3576 G05 552 314 13220 1 28 313 13192 13534 3908 H05 PPCa16 8.6 5 13566 0 5 1356 12210 13571 0.0035 0.35 3576 H05 2480 1356 12215 0 5 1356 12210 13571 3908 A06 PPCa17 68 39 13523 0 39 135 13388 13562 0.29 22 3576 A06 236 135 13427 0 39 135 13388 13562 3908 B06 PPCa18 0 0 12779 0 0 782 11997 12779 0 0 3576 B06 1480 782 11997 0 0 782 11997 12779 3908 C06 PPCa19 0 0 14452 0 0 350 14102 14452 0 0 3576 C06 576 350 14102 0 0 350 14102 14452 3908 D06 PPCa20 24 14 13202 0 14 226 12976 13216 0.061 5.8 3576 D06 406 226 12990 0 14 226 12976 13216 3908 E03 15 gNTC 3.4 2 13554 0 2 16 13538 13556 0.12 11 3576 E03 28 16 13540 0 2 16 13538 13556 3908 F03 15 NTC 8.8 6 16114 1 5 35 16079 16120 0.17 14 3576 F03 52 36 16084 1 5 35 16079 16120 3908

TABLE 16 FAM signals (methylated SERPINE1 DNA fragments) and HEX signals (unmethylated SERPINE1 DNA fragments) in serum samples from healthy subjects (GF1-GF20), serum samples from female breast cancer patients (MF1-MF20) and non-template control (NTC, no DNA or genomic DNA, without bisulphite conversion) after 50 BBPA cycles using the SERPINE1 123 bp primers (SEQ ID: 16 and 17) at an MgCl₂ concentration of 3.5 mM and a temperature of 52.0° C., and subsequent dPCR. Cut-off value: <0.0012%; n.d. = no data due to the proportion of unmethylated DNA fragments being too low. Raw data for FIG. 58. Copies/ Ch1+ Ch1+ Ch1− Ch1− Number of Fractional Pos. Sample 20 μl Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance Threshold A07 GM1  0 0 11322 0 0 11002 320 11322 0 0 3508 A07 84000 11002 320 0 0 11002 320 11322 3780 B07 GM2  0 0 11951 0 0 9517 2434 11951 0 0 3508 B07 37440 9517 2434 0 0 9517 2434 11951 3780 C07 GM3  0 0 14343 0 0 11625 2718 14343 0 0 3508 C07 39140 11625 2718 0 0 11625 2718 14343 3780 D07 GM4  0 0 10890 0 0 9128 1762 10890 0 0 3508 D07 42800 9128 1762 0 0 9128 1762 10890 3780 E07 GM5  0 0 14075 0 0 14057 18 14075 0 0 3508 E07 156000 14057 18 0 0 14057 18 14075 3780 F07 GM6  0 0 13893 0 0 13305 588 13893 0 0 3508 F07 74400 13305 588 0 0 13305 588 13893 3780 G07 GM7  0 0 16335 0 0 13 16322 16335 n.d. 3508 G07 18 13 16322 0 0 13 16322 16335 3780 H07 GM8  0 0 12775 0 0 10756 2019 12775 0 0 3508 H07 43400 10756 2019 0 0 10756 2019 12775 3780 A08 GM9  0 0 13185 0 0 92 13093 13185 n.d. 3508 A08 164 92 13093 0 0 92 13093 13185 3780 B08 GM10 0 0 14823 0 0 14755 68 14823 0 0 3508 B08 126600 14755 68 0 0 14755 68 14823 3780 C08 GM11 1.6 1 14258 1 0 14206 52 14259 1.2E−05 0.0012 3508 C08 132000 14207 52 1 0 14206 52 14259 3780 D08 GM12 1.6 1 14402 1 0 110 14292 14403 n.d. 3508 D08 182 111 14292 1 0 110 14292 14403 3780 E08 GM13 0 0 15072 0 0 15067 5 15072 0 0 3508 E08 188000 15067 5 0 0 15067 5 15072 3780 F08 GM14 0 0 12834 0 0 12596 238 12834 0 0 3508 F08 93800 12596 238 0 0 12596 238 12834 3780 G08 GM15 0 0 15407 0 0 14642 765 15407 0 0 3508 G08 70600 14642 765 0 0 14642 765 15407 3780 H08 GM16 0 0 14278 0 0 12857 1421 14278 0 0 3508 H08 54200 12857 1421 0 0 12857 1421 14278 3780 A09 GM17 0 0 12396 0 0 1546 10850 12396 0 0 3508 A09 3140 1546 10850 0 0 1546 10850 12396 3780 B09 GM18 0 0 16490 0 0 9336 7154 16490 0 0 3508 B09 19640 9336 7154 0 0 9336 7154 16490 3780 C09 GM19 0 0 16559 0 0 12271 4288 16559 0 0 3508 C09 31800 12271 4288 0 0 12271 4288 16559 3780 D09 GM20 0 0 15035 0 0 12902 2133 15035 0 0 3508 D09 45940 12902 2133 0 0 12902 2133 15035 3780 A10 PPCa1 0 0 13235 0 0 9609 3626 13235 0 0 3508 A10 30460 9609 3626 0 0 9609 3626 13235 3780 B10 PPCa2 1.6 1 13988 1 0 13495 493 13989 2.1E−05 0.0021 3508 B10 78800 13496 493 1 0 13495 493 13989 3780 C10 PPCa3 20000000 14683 0 4147 10536 0 0 14683 2600 99.961 3508 C10 7800 4147 10536 4147 10536 0 0 14683 3780 D10 PPCa4 20000000 15104 0 19 15085 0 0 15104 680000 100 3508 D10 30 19 15085 19 15085 0 0 15104 3780 E10 PPCa5 30 18 14361 18 0 14335 26 14379 0.0002 0.02 3508 E10 148600 14353 26 18 0 14335 26 14379 3780 F10 PPCa6 1.6 1 14999 1 0 14951 48 15000 1.2E−05 0.0012 3508 F10 135200 14952 48 1 0 14951 48 15000 3780 G10 PPCa7 135400 14833 47 11752 3081 1 46 14880 3.69 78.7 3508 G10 36700 11753 3127 11752 3081 1 46 14880 3780 H10 PPCa8 56980 12597 1227 12556 41 1115 112 13824 0.538 35 3508 H10 106000 13671 153 12556 41 1115 112 13824 3780 A11 PPCa9 0 0 16071 0 0 15879 192 16071 0 0 3508 A11 104200 15879 192 0 0 15879 192 16071 3780 B11 PPCa10 0 0 15132 0 0 14281 851 15132 0 0 3508 B11 67800 14281 851 0 0 14281 851 15132 3780 C11 PPCa11 766 376 11348 376 0 10945 403 11724 0.0097 0.96 3508 C11 79400 11321 403 376 0 10945 403 11724 3780 D11 PPCa12 384 219 13304 63 156 918 12386 13523 0.217 17.8 3508 D11 1780 981 12542 63 156 918 12386 13523 3780 E11 PPCa13 70 42 13912 41 1 12039 1873 13954 0.0015 0.15 3508 E11 47240 12080 1874 41 1 12039 1873 13954 3780 F11 PPCa14 3.4 2 14113 2 0 14049 64 14115 2.6E−05 0.0026 3508 F11 127000 14051 64 2 0 14049 64 14115 3780 G11 PPCa15 0 0 15448 0 0 15138 310 15448 0 0 3508 G11 92000 15138 310 0 0 15138 310 15448 3780 H11 PPCa16 0 0 13649 0 0 13583 66 13649 0 0 3508 H11 125400 13583 66 0 0 13583 66 13649 3780 E09 PPCa17 18.8 13 16318 8 5 1868 14450 16331 0.0065 0.65 3508 E09 2880 1876 14455 8 5 1868 14450 16331 3780 F09 PPCa18 0 0 16149 0 0 15886 263 16149 0 0 3508 F09 96800 15886 263 0 0 15886 263 16149 3780 G09 PPCa19 0 0 14312 0 0 10027 4285 14312 0 0 3508 G09 28380 10027 4285 0 0 10027 4285 14312 3780 H09 PPCa20 0 0 15428 0 0 14086 1342 15428 0 0 3508 H09 57400 14086 1342 0 0 14086 1342 15428 3780 G06 50 gDNA 0 0 14576 0 0 3 14573 14576 0 0 3508 G06 4.8 3 14573 0 0 3 14573 14576 3780 H06 50 NTC 0 0 14603 0 0 3 14600 14603 0 0 3508 H06 4.8 3 14600 0 0 3 14600 14603 3780

TABLE 17 FAM signals (methylated AOX1 DNA fragments) and HEX signals (unmethylated AOX1 DNA fragments) in serum samples from healthy subjects (GF1-GF20), serum samples from female breast cancer patients (MF1-MF20) and non-template control (NTC, no DNA or genomic DNA, without bisulphite conversion) after 15 BBPA cycles using the AOX1 138 bp primers (SEQ ID: 18 and 19) at an MgCl₂ concentration of 2.5 mM and a temperature of 50.0° C., and subsequent dPCR. Cut-off value: <3.2% Raw data for FIG. 59. Copies/ Ch1+ Ch1+ Ch1− Ch1− Number of Fractional Pos. Sample 20 μl Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance Threshold A01 GM1  0 0 12775 0 0 6165 6610 12775 0 0 2946 A01 15500 6165 6610 0 0 6165 6610 12775 4102 B01 GM2  0 0 12119 0 0 2097 10022 12119 0 0 2946 B01 4480 2097 10022 0 0 2097 10022 12119 4102 C01 GM3  0 0 12749 0 0 4875 7874 12749 0 0 2946 C01 11340 4875 7874 0 0 4875 7874 12749 4102 D01 GM4  0 0 13129 0 0 10076 3053 13129 0 0 2946 D01 34320 10076 3053 0 0 10076 3053 13129 4102 E01 GM5  0 0 13716 0 0 10633 3083 13716 0 0 2946 E01 35120 10633 3083 0 0 10633 3083 13716 4102 F01 GM6  0 0 14337 0 0 8638 5699 14337 0 0 2946 F01 21700 8638 5699 0 0 8638 5699 14337 4102 G01 GM7  1.6 1 15201 1 0 4846 10355 15202 0.00017 0.017 2946 G01 9040 4847 10355 1 0 4846 10355 15202 4102 H01 GM8  0 0 13459 0 0 4734 8725 13459 0 0 2946 H01 10200 4734 8725 0 0 4734 8725 13459 4102 A02 GM9  84 36 10028 12 24 6311 3717 10064 0.0036 0.36 2946 A02 23280 6323 3741 12 24 6311 3717 10064 4102 B02 GM10 0 0 10929 0 0 9009 1920 10929 0 0 2946 B02 40920 9009 1920 0 0 9009 1920 10929 4102 C02 GM11 1.6 1 14000 0 1 6620 7380 14001 0.00011 0.011 2946 C02 15060 6620 7381 0 1 6620 7380 14001 4102 D02 GM12 282 136 11314 24 112 3455 7859 11450 0.033 3.2 2946 D02 8520 3479 7971 24 112 3455 7859 11450 4102 E02 GM13 0 0 12943 0 0 8381 4562 12943 0 0 2946 E02 24540 8381 4562 0 0 8381 4562 12943 4102 F02 GM14 8 4 11691 0 4 3261 8430 11695 0.001 0.1 2946 F02 7700 3261 8434 0 4 3261 8430 11695 4102 G02 GM15 0 0 12712 0 0 3386 9326 12712 0 0 2946 G02 7280 3386 9326 0 0 3386 9326 12712 4102 H02 GM16 274 123 10496 26 97 4435 6061 10619 0.0214 2.09 2946 H02 12820 4461 6158 26 97 4435 6061 10619 4102 A03 GM17 0 0 12345 0 0 2934 9411 12345 0 0 2946 A03 6380 2934 9411 0 0 2934 9411 12345 4102 B03 GM18 0 0 12222 0 0 3388 8834 12222 0 0 2946 B03 7640 3388 8834 0 0 3388 8834 12222 4102 C03 GM19 0 0 11851 0 0 5087 6764 11851 0 0 2946 C03 13200 5087 6764 0 0 5087 6764 11851 4102 C03 GM20 0 0 10021 0 0 97 9924 10021 0 0 2946 C03 228 97 9924 0 0 97 9924 10021 4102 A04 PPCa1 0 0 11521 0 0 921 10600 11521 0 0 2946 A04 1960 921 10600 0 0 921 10600 11521 4102 B04 PPCa2 34 18 12312 3 15 2476 9836 12330 0.0065 0.65 2946 B04 5280 2479 9851 3 15 2476 9836 12330 4102 C04 PPCa3 50080 10976 1483 114 10862 216 1267 12459 79 98.75 2946 C04 632 330 12129 114 10862 216 1267 12459 4102 C04 PPCa4 670 341 11814 1 340 487 11327 12155 0.69 41 2946 C04 964 488 11667 1 340 487 11327 12155 4102 E04 PPCa5 0 0 11024 0 0 445 10579 11024 0 0 2946 E04 970 445 10579 0 0 445 10579 11024 4102 F04 PPCa6 188 96 11922 26 70 9738 2184 12018 0.0048 0.48 2946 F04 39380 9764 2254 26 70 9738 2184 12018 4102 G04 PPCa7 3760 1605 9243 38 1567 2960 6283 10848 0.495 33.1 2946 G04 7620 2998 7850 38 1567 2960 6283 10848 4102 H04 PPCa8 27180 8330 3833 640 7690 1347 2486 12163 6.47 86.6 2946 H04 4200 1987 10176 640 7690 1347 2486 12163 4102 A05 PPCa9 0 0 12275 0 0 4339 7936 12275 0 0 2946 A05 10260 4339 7936 0 0 4339 7936 12275 4102 B05 PPCa10 0 0 12250 0 0 3684 8566 12250 0 0 2946 B05 8420 3684 8566 0 0 3684 8566 12250 4102 C05 PPCa11 60800 13449 1094 894 12555 172 922 14543 34 97.14 2946 C05 1800 1066 13477 894 12555 172 922 14543 4102 D05 PPCa12 1750 1018 13185 41 977 2474 10711 14203 0.382 27.6 2946 D05 4580 2515 11688 41 977 2474 10711 14203 4102 E05 PPCa13 0 0 11674 0 0 710 10964 11674 0 0 2946 E05 1480 710 10964 0 0 710 10964 11674 4102 F05 PPCa14 714 403 13078 74 329 5960 7118 13481 0.051 4.87 2946 F05 13960 6034 7447 74 329 5960 7118 13481 4102 G05 PPCa15 0 0 13606 0 0 382 13224 13606 0 0 2946 G05 670 382 13224 0 0 382 13224 13606 4102 H05 PPCa16 0 0 13111 0 0 4457 8654 13111 0 0 2946 H05 9780 4457 8654 0 0 4457 8654 13111 4102 A06 PPCa17 2440 1261 11550 34 1227 1063 10487 12811 1.16 53.7 2946 A06 2100 1097 11714 34 1227 1063 10487 12811 4102 B06 PPCa18 0 0 12831 0 0 3704 9127 12831 0 0 2946 B06 8020 3704 9127 0 0 3704 9127 12831 4102 C06 PPCa19 1.6 1 14781 0 1 4803 9978 14782 0.00017 0.017 2946 C06 9240 4803 9979 0 1 4803 9978 14782 4102 D06 PPCa20 0 0 14244 0 0 1678 12566 14244 0 0 2946 D06 2940 1678 12566 0 0 1678 12566 14244 4102 E03 15 gDNA 0 0 13787 0 0 63 13724 13787 0 0 2946 E03 108 63 13724 0 0 63 13724 13787 4102 F03 15 NTC 0 0 14654 0 0 84 14570 14654 0 0 2946 F03 136 84 14570 0 0 84 14570 14654 4102

TABLE 18 FAM signals (methylated AOX1 DNA fragments) and HEX signals (unmethylated AOX1 DNA fragments) in serum samples from healthy subjects (GF1-GF20), serum samples from female breast cancer patients (MF1-MF20) and non- template control (NTC, no DNA or genomic DNA, without bisulphite conversion) after 30 BBPA cycles using the AOX1 138 bp primers (SEQ ID: 18 and 19) at an MgCl₂ concentration of 2.5 mM and a temperature of 50.0° C., and subsequent dPCR. Cut-off value: <0.008%. Raw data for FIG. 60. Copies/ Ch1+ Ch1+ Ch1− Ch1− Number of Fractional Pos. Sample 20 μl Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance Threshold A07 GM1  0 0 13363 0 0 12829 534 13363 0 0 2522 A07 75800 12829 534 0 0 12829 534 13363 4026 B07 GM2  1.8 1 13210 0 1 7853 5357 13211 8.00E−05 0.008 2522 B07 21240 7853 5358 0 1 7853 5357 13211 4026 C07 GM3  0 0 13321 0 0 11436 1885 13321 0 0 2522 C07 46000 11436 1885 0 0 11436 1885 13321 4026 D07 GM4  0 0 13023 0 0 12677 346 13023 0 0 2522 D07 85400 12677 346 0 0 12677 346 13023 4026 E07 GM5  0 0 13143 0 0 12216 927 13143 0 0 2522 E07 62400 12216 927 0 0 12216 927 13143 4026 F07 GM6  0 0 12889 0 0 7603 5286 12889 0 0 2522 F07 20980 7603 5286 0 0 7603 5286 12889 4026 G07 GM7  0 0 12650 0 0 12048 602 12650 0 0 2522 G07 71600 12048 602 0 0 12048 602 12650 4026 H07 GM8  0 0 12586 0 0 12099 487 12588 0 0 2522 H07 76600 12099 487 0 0 12099 487 12586 4026 A08 GM9  0 0 12154 0 0 11019 1135 12154 0 0 2522 A08 55800 11019 1135 0 0 11019 1135 12154 4026 B08 GM10 0 0 13926 0 0 13704 222 13926 0 0 2522 B08 97400 13704 222 0 0 13704 222 13926 4026 C08 GM11 0 0 13333 0 0 8498 4835 13333 0 0 2522 C08 23860 8498 4835 0 0 8498 4835 13333 4026 D08 GM12 1.6 1 14130 1 0 13577 553 14131  2.2E−05 0.0022 2522 D08 76200 13578 553 1 0 13577 553 14131 4026 E08 GM13 0 0 12767 0 0 12491 276 12767 0 0 2522 E08 90200 12491 276 0 0 12491 276 12767 4026 F08 GM14 0 0 12841 0 0 5483 7358 12841 0 0 2522 F08 13100 5483 7358 0 0 5483 7358 12841 4026 G08 GM15 0 0 13297 0 0 12877 420 13297 0 0 2522 G08 81200 12877 420 0 0 12877 420 13297 4026 H08 GM16 1.6 1 13873 0 1 13246 627 13874  2.3E−05 0.0023 2522 H08 72800 13246 628 0 1 13246 627 13874 4026 A09 GM17 0 0 13562 0 0 831 12731 13562 0 0 2522 A09 1480 831 12731 0 0 831 12731 13562 4026 B09 GM18 0 0 14121 0 0 13408 713 14121 0 0 2522 B09 70200 13408 713 0 0 13408 713 14121 4026 C09 GM19 0 0 14979 0 0 14395 584 14979 0 0 2522 C09 76400 14395 584 0 0 14395 584 14979 4026 D09 GM20 0 0 13243 0 0 18 13225 13243 0 0 2522 D09 32 18 13225 0 0 18 13225 13243 4026 E09 PPCa1 0 0 13470 0 0 4 13466 13470 0 0 2522 E09 7 4 13466 0 0 4 13466 13470 4026 F09 PPCa2 1.6 1 14957 0 1 10789 4168 14958 5.00E−05 0.005 2522 F09 30060 10789 4169 0 1 10789 4168 14958 4026 G09 PPCa3 20000000 14287 0 2 14285 0 0 14287 1000000 100 2522 G09 3.2 2 14285 2 14285 0 0 14287 4026 H09 PPCa4 74200 13824 619 4240 9584 0 619 14443 9.06 90.06 2522 H09 8180 4240 10203 4240 9584 0 619 14443 4026 E10 PPCa5 0 0 13312 0 0 5568 7744 13312 0 0 2522 E10 12740 5568 7744 0 0 5568 7744 13312 4026 F10 PPCa6 1.6 1 15410 0 1 15331 79 15411  1.2E−05 0.0012 2522 F10 123800 15331 80 0 1 15331 79 15411 4026 G10 PPCa7 79200 14676 523 13689 987 124 399 15199 1.407 58.5 2522 G10 56400 13813 1386 13689 987 124 399 15199 4026 H10 PPCa8 145600 14096 29 183 13913 0 29 14125 470 99.79 2522 H10 306 183 13942 183 13913 0 29 14125 4026 A11 PPCa9 0 0 14180 0 0 12203 1977 14180 0 0 2522 A11 46360 12203 1977 0 0 12203 1977 14180 4026 B11 PPCa10 0 0 15288 0 0 13636 1652 15288 0 0 2522 B11 52400 13636 1652 0 0 13636 1652 15288 4026 C11 PPCa11 228000 15823 1 24 15799 0 1 15824 6400 99.984 2522 C11 36 24 15800 24 15799 0 1 15824 4026 D11 PPCa02 62280 15829 1207 11567 4262 95 1112 17036 229 69.6 2522 D11 27140 11662 5374 11567 4262 95 1112 17036 4026 E11 PPCa03 1.4 1 16189 0 1 1474 14715 16190 0.0006 0.06 2522 E11 2240 1474 14716 0 1 1474 14715 16190 4026 F11 PPCa04 0 0 16641 0 0 16278 363 16641 0 0 2522 F11 90000 16278 363 0 0 16278 363 16641 4026 G11 PPCa05 0 0 16513 0 0 12586 3927 16513 0 0 2522 G11 33800 12586 3927 0 0 12586 3927 16513 4026 H11 PPCa06 0 0 14607 0 0 8223 6384 14607 0 0 2522 H11 19480 8223 6384 0 0 8223 6384 14607 4026 A10 PPCa17 11640 5373 8388 6 5367 1 8387 13761 1000 99.9 2522 A10 12 7 13754 6 5367 1 8387 13761 4026 B10 PPCa18 0 0 14246 0 0 11148 3098 14246 0 0 2522 B10 35900 11148 3098 0 0 11148 3098 14246 4026 C10 PPCa19 0 0 14141 0 0 13102 1039 14141 0 0 2522 C10 61400 13102 1039 0 0 13102 1039 14141 4026 D10 PPCa20 0 0 15013 0 0 13431 1582 15013 0 0 2522 D10 53000 13431 1582 0 0 13431 1582 15013 4026 G06 30 gDNA 0 0 15273 0 0 5 15268 15273 0 0 2522 G06 7.8 5 15268 0 0 5 15268 15273 4026 H06 30 NTC 0 0 14501 0 0 2 14499 14501 0 0 2522 H06 3.2 2 14499 0 0 2 14499 14501 4026

Embodiment 11: Distinguishing Between Benign Prostatic Hyperplasia and Prostate Cancer

Since a basic prerequisite for screening and associated precautionary examinations for tumour diseases is being able to reliably distinguish between benign and malignant diseases, i.e. analytical and diagnostic specificity has to be almost 100%, the benign prostatic hyperplasia cell line BPH-1 was analysed using various PLA2R1 primer pairs alongside normal PrEC cells and malignant prostate cell lines (LNCaP, PC-3 and DU-145). After 50 pre-amplification cycles using an MgCl₂ concentration of 2.5 mM and the PLA2R1 primer pair 168 bp, it was found that the level of the FAM and HEX signals according to the annealing temperature remained constant, i.e. there was no bias (FIG. 46). This correlates with the results obtained when 50% standard DNA samples were tested (FIG. 34). By contrast, a clear bias in favour of methylated sequences, noticeable on the basis of increasing FAM signals for the PC-3 cell line, occurred from a temperature of 58.2° C. when the PLA2R1 primer pair 161 bp was used and from a temperature of 50.8° C. when the PLA2R1 primer pair 150 bp was used (FIGS. 47 and 48). Particularly strong bias was already noted for the PLA2R1 primer pair 133 bp at an annealing temperature of 50.0° C. (FIG. 49). In this case, however, increasing numbers of artefacts occurred (i.e. false-positive signals) once the temperature passed 52.6° C. since elevated FAM signals were measured for the normal PrEC and BPH-1 cell lines and the values could not be distinguished from those of malignant prostate cell lines (FIG. 49). It can thus be concluded that a maximum annealing temperature of 52.6° C. should be selected for an MgCl₂ concentration of 2.5 mM and this primer pair. At higher annealing temperatures, e.g. 63.0° C., an alternative would be to increase the MgCl₂ concentration to 6.0 mM, since this can prevent false-positive signals from occurring (see Tables 28 and 30 and FIGS. 38-45).

A similar phenomenon was noted for the primer pair GSTP1 120 bp, whereby greater numbers of false-positive signals were produced as the annealing temperature was increased with an MgCl₂ concentration of 2.5 mM (FIG. 50). In this case, artefacts, i.e. false-positive values, also occurred above an annealing temperature of 60.8° C. Here too, the occurrence of false-positive signals as the annealing temperature increased can be prevented by increasing the MgCl₂ concentration and thus significantly higher diagnostic specificities can be achieved.

The observation that the signals approached 0% in healthy samples and 100% in tumour patient samples as the number of pre-amplification cycles was increased, resulting in a reliable distinction between healthy and diseased subjects, was also noted in the example of GSTP1 methylation in samples having 0% and 50% methylated standard DNA (FIGS. 51 and 52). Whereas non-specific signals from the 0% standard DNA sample occurred at 20 cycles when the GSTP1 120 bp primer pair was used, these completely disappeared after 50 cycles (FIG. 51). By contrast, the intensity of the specific FAM signals in the 50% sample increased as the cycle number rose at MgCl₂ concentrations of 1.5-2.5 mM (FIG. 51). The fact that this phenomenon is highly dependent on the primer design and MgCl₂ concentration was also apparent from the example of the GSTP1 116 bp primer pair. In this case, the FAM signal intensity dropped after more than 20 cycles when the MgCl₂ concentration was greater than 2.5 mM (FIG. 52). For this reason, the number of pre-amplification cycles for this primer pair should be limited to 20 if an MgCl₂ concentration of between 2.5 and 6.0 mM is used. Alternatively, the MgCl₂ concentration can be reduced to 1.5 mM and the cycle number increased accordingly (FIG. 52).

Additionally, in the case of the GSTP1 116 bp primer pair in serum samples from female breast cancer patients, it was found that the diagnostic sensitivity and specificity rose considerably when the MgCl₂ concentration was increased to 4.5 mM in the BBPA instead of 1.5 mM (FIGS. 53 and 54). Whereas 4 out of 20 female breast cancer patients were correctly identified at an MgCl₂ concentration of 1.5 mM, this number rose to 6 when 4.5 mM MgCl₂ was used; however, the proportion of unmethylated DNA fragments also rose at the higher MgCl₂ concentration. The latter case can be used as an ideal internal control under these conditions, which was not the case at an MgCl₂ concentration of 1.5 mM.

In another test carried out on serum samples from PCa patients, improved diagnostic sensitivity and specificity was found when, under optimum conditions (4.5 mM MgCl₂ and an annealing temperature of 53.8° C.), the GSTP1 116 bp primer pair was compared with the GSTP1 120 bp primer pair (2.5 mM MgCl₂ and an annealing temperature of 50.7° C.). In this case, 13 out of the group of 20 PCa patients were correctly identified using the GSTP1 116 bp primer pair, without any of the 20 healthy subjects being erroneously identified as being diseased, whereas 8 were correctly identified as suffering from PCa using the GSTP1 120 bp primer pair (FIGS. 55 and 56; Tables 13 and 14). At the same time, when using the GSTP1 120 bp primer pair, positive signals that were negative in the tests using the GSTP1 116 bp primer pair were noted in the serum samples from patients PPCa13 and 20, and so the diagnostic sensitivity of the test can be increased by using the two primer pairs, either separately in two different BBPA-dPCR batches or simultaneously in one batch.

When using the BBPA-dPCR technique for the targets of interest SERPINE1 and AOX1, it was noted that, as already described at the beginning for the RASSF1A 117 bp primer pair, using 50 BBPA cycles (in the case of the SERPINE1 primer pair in particular) and 30 cycles (in the case of the AOX1 primer pair) instead of 15 led to significantly improved identification of PCa patients against healthy subjects in the subsequent dPCR. In the process, no redundant results were produced by the two numbers of cycles, but rather complementary results were produced (FIG. 57-60; Tables 15-18). This means that the sensitivity and specificity of the method can also be further increased by simultaneously using different numbers of BBPA cycles, e.g. 15 and 30, or 15 and 50 cycles. For example, some of the sample material can be removed after e.g. 15 BBPA cycles and the remaining sample material can be pre-amplified in the BBPA for an additional 35 cycles (a total of 50 cycles). If there is sufficient test material available, the patient samples can also be pre-amplified separately in the BBPA for 15 and 30 or 15 and 50 cycles in order to minimise the samples potentially being contaminated.

To verify whether the novel BBPA-dPCR technique is capable of distinguishing between healthy subjects, BPH and PCa for the purposes of differential diagnosis by determining methylated DNA fragments in PLA2R1, RASSF1A, GSTP1 and PAI1 genes, and thus of supporting the question of whether to indicate a tissue biopsy, 20 serum samples each from healthy subjects, BPH patients and PCa patients were analysed. Patient samples for the two groups that did not significantly differ in terms of the PSA serum concentrations were analysed, the PSA values being within the critical range between 2 and 15 ng/ml (p<0.552; FIG. 61). A differential diagnosis between BPH and PCa was also not possible on the basis of the quotient of free PSA to total PSA (reference value >20%) in patients (Table 19).

In 20 serum samples from healthy subjects, i.e. without BPH or PCa diseases, there were only small proportions of methylated DNA fragments; these proportions were then used as cut-off values (PLA2R1<0.11%; RASSF1A<0.11%; GSTP1<0.05% and SERPINE1<0.13%). On the basis of these values, no elevated values could be detected in 11 patients out of the group of 20 BPH patients. Up to today, i.e. two years after the blood was taken and tissue biopsy carried out, these 11 patients do not have PCa (Table 19; as at 15 Dec. 2016). By contrast, methylated tumour DNA for at least one of the four genes tested was detected in 13 serum samples, and all these patients did indeed have PCa (Table 19).

In 9 out of the 20 serum samples from the BPH group, methylated tumour DNA was also identified for at least one of the four genes tested. In four of these BPH patients (patients BPH14, BPH15, BPH17 and BPH18), a PCa developed in the time after the blood was taken and subsequent tests.

For example, a PCa was detected in patient BPH14 in October 2016, despite no malignant cells having been found in two prostate biopsies in 2014 and August 2016. In the BBPA-dPCR analysis, tumour DNA for RASSF1A and GSTP1 was found in the serum sample as early as in October 2014 (Table 19).

In two other BPH patients (BPH15 and BPH17), prostate cancers in stage IIa were found in November 2014 after TURP and biopsy, respectively. Tumour DNA for GSTP1 and SERPINE1 could already be detected in the serum samples two and four months previously, respectively. In patient BPH17, the quotient of free PSA to total PSA was 40.2% and was thus clearly above the cut-off value of 20%; nonetheless, the patient developed a PCa, which was reliably suggested three months earlier by significantly elevated proportions of methylated GSTP1 and SERPINE1 DNA fragments of 9% (normal <0.05%) and 31.7% (normal <0.13%), respectively.

In patient BPH18, blood was taken and a tissue biopsy carried out in August 2014 as a result of an increase in PSA. In the material provided, the histology showed no indication of intraepithelial neoplasia/dysplasia or malignancy. The QfPSA/PSA was above the cut-off value at 22.5%. Since the PSA had doubled within a year to 13.9 ng/ml, a further biopsy was carried out in September 2015, with malignancy again being ruled out on the basis of a repeat needle biopsy. In July 2016, the patient given emergency treatment for acute urinary retention and prostatic hyperplasia requiring an indwelling catheter, and a PCa was finally discovered following a TURP carried out in September 2016. Interestingly, the blood sample from August 2014, i.e. two years earlier, already showed a significant proportion of methylated SERPINE1 DNA fragments (11.4% against a cut-off value of 0.13%) (Table 19).

In the case of the patient BPH16, from whom blood was taken and on whom a biopsy was also carried out in 2014, the histology did not give any indication of intraepithelial neoplasia/dysplasia or malignancy. At 12.9%, the QfPSA/PSA was nonetheless below the cut-off value of 20%. In March 2016, another biopsy was carried out; the biopsy needle showed small foci of high-grade prostatic intraepithelial neoplasia (HGPIN) and so another tissue biopsy was recommended in six months. This is yet to take place. For this patient too, the BBPA-dPCR technique already showed elevated values for all four genes tested in the September 2014 serum sample (Table 19).

Elevated values for all four genes were also found in the October 2014 serum sample for patient BPH12, for whom a TURP was carried out at the same time and atypical adenomatous hyperplasia (AAH) was detected in the test material provided (chips), though no cancer.

For patient BPH13, whose October 2014 serum sample showed significantly elevated numbers of methylated GSTP1 gene fragments, a prostate biopsy also carried out in October 2014 found isolated glandular proliferations of unknown malignancy status. In the subsequent tests, no racemase overexpression could be detected, and so neither could PCa. In February 2016, this patient underwent a TURP owing to a prostatic hyperplasia requiring an indwelling catheter. Isolated glandular proliferations of unknown malignancy status were also identified in this case too, although subsequent tests did not identify any PCa (Table 19).

In patients BPH19 and BPH20, for whom elevated numbers of methylated DNA fragments for all four genes could be identified in the serum, the histology reports showed suspicious findings following the TURP and prostate biopsy, respectively, even though no PCa had been unambiguously detectable previously in both cases (Table 19).

In summary, the values obtained in all 20 healthy subjects using the BBPA-dPCR technique were below the set cut-off values and so no false-positive signals were obtained in any of the cases (100% diagnostic specificity). In the group of 20 PCa patients, 13 were correctly identified as positive (65% diagnostic sensitivity). In the group of 20 BPH patients, 11 patients were given negative results, i.e. these patients were deemed healthy (no PCa). More than two years on from the blood tests (as at 15 Dec. 2016), none of these patients has actually developed PCa. In 9 of the 20 BPH patients tested, positive signals were identified for at least one target of interest tested in the BBPA-dPCR. In four cases among these patients, a PCa developed within four months to two years after the blood tests. In the other five patients, the histology showed suspicious findings in the time following the blood tests, despite no malignant changes having been unambiguously identified previously (Table 19). Only future tests will show how many of these patients also subsequently develop a PCa.

In light of the above, it has been shown that the novel BBPA-dPCR technique produces significantly higher diagnostic specificity and a considerably higher positive predicative value compared with PSA determinations, in particular in the PSA concentration range of from 2-15 ng/ml, in which there were no significant differences between the BPH and PCa groups (FIG. 61).

The importance of establishing new biomarkers and providing corresponding commercial test kits for diagnosing PCa was already discussed at the outset. In this respect, the newly developed BBPA-dPCR method can make a significant contribution to reduce unnecessary biopsies or to ensure biopsies are carried out at the right time, thereby potentially lessening unnecessary burdens and side effects and also considerably reducing the costs for these treatments. In Germany alone, between 250,000 and 350,000 biopsies are carried out each year on the basis of PSA determinations and up to 75% of these are unnecessary.

Moreover, the diagnostic sensitivity of the novel method is significantly better than PSA, in particular when we consider that at most 1 ml serum was available for the tests being described and that the serum did not have to undergo any special pre-treatment in terms of specific pre-analysis such as DNase inhibition. Therefore, the presence of at least one tumour DNA copy is the basic requirement for detecting tumour DNA, and so the probability of such a copy existing naturally rises as the quantity of sample material being tested increases, in particular when the tumour disease is to be diagnosed as early as possible, i.e. at an early tumour development stage, in order to prevent any metastasis that may have already occurred.

In addition, there was no further sample material available for the tests in order to use further primer pairs such as the GSTP1 116 bp primer pair or to test other targets of interest such as AOX1, thrombomodulin and/or septin-9, meaning that the diagnostic sensitivity could be further increased.

In particular when diagnosing PCa, renal cancer and bladder cancer, urine samples are also advantageous in addition to blood sample tests (serum or plasma) since they are non-invasive and large volumes can be obtained and easily made available for the tests.

A high analytical and diagnostic sensitivity at almost 100% specificity is provided in particular for diagnosing minimal residual diseases (MRD), e.g. following a surgical operation when the question of subsequent chemotherapy/radiotherapy is being discussed, and a diagnostic sensitivity and specificity of almost 100% is also vital for patient after-care so as to detect recurrences as early as possible. In patient PCa1, for example, the histology following the surgical removal of the tumour showed infiltration of the resection edge, and so the question here how much cf-tumour DNA can be detected in the bloodstream or urinary excretion and whether this could form the basis for intensive after-care, e.g. involving an early second surgical intervention.

TABLE 19 Test results for differentiating between healthy subjects, benign prostatic hyperplasia (BPH) patients and prostate cancer patients (PCa) on the basis of PSA concentrations in serum, the quotient of free PSA to total PSA (QfPSA/PSA), the quantity of methylated PLA2R1, RASSF1A (RASS), GSTP1 and SERPINE1 (PAI1) DNA fragments compared with unmethylated fragments, and the clinical data. The cut-off values are given in the first row. QfPSA/ Age/ PSA TPSA PLA2R1 RASS GSTP1 PAI1 Date years <4.0 ng/ml >20% <0.11% <0.4% <0.05% <0.13% Clinical data GM1  May 2015 22 0.009 0 0 0.056 GM2  May 2015 28 0 0 0 0 GM3  May 2015 22 0 0.4 0 0.003 GM4  May 2015 32 0.023 0 0 0 GM5  May 2015 35 0 0 0 0 GM6  May 2015 23 0 0.007 0 0 GM7  May 2015 30 0 0 0 0 GM8  May 2015 28 0 0 0.007 0.018 GM9  May 2015 44 0.019 0 0.046 0.03 GM10 May 2015 50 0 0 0 0 GM11 May 2015 49 0 0 0 0.017 GM12 May 2015 63 0.0025 0.025 0 0 GM13 May 2015 21 0 0 0 0.008 GM14 May 2015 23 0.0026 0 0 0.0029 GM15 May 2015 23 0 0 0 0 GM16 May 2015 28 0 0.007 0.005 0.015 GM17 May 2015 62 0 0 0 0.0027 GM18 May 2015 29 0 0 0 0.044 GM19 May 2015 23 0 0 0 0.007 GM20 May 2015 46 0.104 0.012 0 0.13 BPH-1  September 60 8.6 0 0.029 0 0.06 no PCa to date 2014 BPH-2  September 73 6.27 18.50 0 0.05 0 0 no PCa to date 2014 BPH-3  August 76 7.92 0.032 0.003 0 0 no PCa to date 2014 BPH-4  August 59 8.56 0.052 0 0 0.009 no PCa to date 2014 BPH-5  August 83 5.2 0.051 0 0.117 0.004 no PCa to date 2014 BPH-6  August 73 4.19 15.27 0.18 0 0.062 0.168 no PCa to date 2014 BPH-7  August 64 6.56 13.72 0.104 0.42 0.066 0 no PCa to date 2014 BPH-8  August 66 6.44 15.06 0 0.005 0.04 0.003 no PCa to date 2014 BPH-9  July 2014 65 4.84 0 0.017 0.008 1.88 no PCa to date BPH-10 July 2014 58 13.2 0 0.028 0.051 0.028 no PCa to date BPH-11 July 2014 74 2 0 0 0 0.17 no PCa to date BPH-12 October 75 0.33 5.2 2.62 3.24 4.2 October 2014 TURP (12 g) owing to obstructive 2014 prostatic hyperplasia; histology: atypical adenomatous hyperplasia (AAH) [1] BPH-13 October 71 14.23 0 0.009 14.49 0.005 Prostate biopsy (Pb) 2007 and 2011 negative, October 2014 2014 negative [2]; February 2016 patient refuses Pb, but TURP owing to prostatic hyperplasia requiring an indwelling catheter: histology [3] BPH-14 October 67 6.39 23.63 0 0.83 1.41 0.012 Pb 2010, 2011, 2014 and August 2016 negative [4]; 2014 October 2016 PCa detected BPH-15 September 66 4.12 0.12 0.061 3.39 0 November 2014 TURP due to prostate cancer, pT1a, 2014 pNx, L0, V0, Rx, Gleason score 3 + 3 = 6, stage IIa with symptomatic prostatic hyperplasia BPH-16 September 47 6.53 12.86 1.45 0.75 7.42 1.99 Pb 2012 and 2014 negative, Pb March 2016 HGPIN 2014 detected in one biopsy needle [5]; repeat biopsy recommended in 6 months, not yet carried out. BPH-17 August 66 4.75 40.21 0 0.12 9 31.7 Pb 2011 and July 2014 negative, although repeat Pb 2014 recommended in 3-6 months due to atypical small acinar proliferation with PSA of 4.75 ng/ml; Q = 40.2%; November 2014: PCa detected (Gleason score 3 + 4 = 7, stage IIa) in Pb [6]; February 2015: PCa operated BPH-18 August 72 6.31 22.50 0.018 0.1 0 11.4 Pb 2013 negative, August 2014 PSA increase to 6.31 2014 ng/ml, Q = 22.5% and Pb [7]; September 2015 repeat Pb due to PSA increase to 13.9 ng/ml [8]; July 2016 emergency presentation due to acute urinary retention; prostatic hyperplasia requiring an indwelling catheters; September 2016: TURP with post-operative tumour classification T1a; Rx, Gleason score 3 + 3 = 6 [9]. BPH-19 August 75 9.31 21.27 1.27 2.26 0.21 0.019 Pb 2006, 2008, 2012 and 2014 negative; March 2016 2014 treatment by TURP (50 g) due to persistently elevated PSA of 9.28 ng/ml; histology [10]; BPH-20 July 2014 73 4.75 1.52 2.16 0 1.6 Pb 2012 and 2013 negative; August 2014: Pb due to PSA of 4.75 ng/ml; histology [11]; PCa1  59 6.35 2.86 0 0 0.08 October 2014: PCa operated; pT2c, cN0, cM0, L0, V0, Pn1, Rx (infiltration of resection edge traced in left apex), Gleason score 3 + 4 = 7, stage IIb [12] PCa2  60 9.42 0 0.19 0 0.14 October 2014 PCa operated; pT2c, pN0 (0/10 LK), L0, V0, Pn1, R0 (local), Gleason score; 3 + 3 = 6, stage IIa Pb April 2014: 3/12 cylinders positive PCa3  72 8.4 0 0.88 0 0 October 2014 PCa operated; pT2c, pN0 (0/18 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score: 4 + 3 = 7, tertiary differentiation pattern Gleason 5, stage IIIb August 2014 Pb: 1/12 cylinders positive, left side PCa4  60 3.53 0 6.5 11.5 0.27 October 2014 PCa operated; pT2c, pN0 (0/19 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score: 3 + 4 = 7, stage IIa August 2014 Pb: cT1c (8/12 cylinder positive, both sides) PCa5  67 13.16 0.012 0.28 1.2 0 September 2014 PCa operated; pT2c, pN0 (0/28 LK), L0, V0, Pn0, R0 (local), Gleason score: 3 + 4 = 7, stage IIa PCa6  62 3.6 0 21.6 7.4 0.07 September 2014 PCa operated; pT2c, pN0 (0/11 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score: 3 + 4 = 7, stage IIa; May 2014: Pb: 1/12 cylinders positive, left side (5%) PCa7  68 4.25 1.02 1.28 0 0.011 September 2014 PCa operated; pT2c pN0 (0/20 LK) cM0 L0 V0 Pn1 R1 (dorsal both sides), Gleason score: 3 + 4 = 7, tertiary differentiation pattern Gleason 5, stage IIIb July 2014 Pb: 2/12 cylinders positive, right side PCa8  60 6.45 0.019 0.4 0.85 0.014 September 2014 MR fusion transperineal (6 cylinders) and TRUS transrectal (12 cylinders) Pb: 1/18 cylinders positive, right side; Gleason score: 3 + 3 = 6 PCa9  44 8.73 0.79 0.015 0.52 0.045 September 2014 PCa operated; pT2c, pN0 (0/17 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score: 3 + 4 = 7, stage IIa June 2014 Pb 1/6 right-side and 3/6 left-side cylinders positive PCa10 60 10.86 0.11 0.037 1.36 0.42 September 2014 PCa operated; pT2c, pN0 (0/11 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score 3 + 4 = 7, stage IIa PCa11 67 15.05 0 0 0.51 0.077 August 2014 PCa operated; pT2c, pN0 (0/16 LK), cM0, L0, V0, Pn0, R0 (local), Gleason score: 3 + 4 = 7, stage IIa December 2013 Pb: 3/20 cylinders both sides, Gleason 3 + 3 = 6 PCa12 70 14.19 0 0.67 0 0.043 August 2014 PCa operated; pT3b, pN0 (0/13 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score 4 + 3 = 7, stage IIb PCa13 73 7.2 0.59 0.6 0 0.0026 August 2014 PCa operated; pT2c, pN0 (0/10 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score 3 + 4 = 7, stage IIa PCa14 64 2.22 0 0.06 0 0 October 2014 PCa operated; pT2c, pN0 (0/14 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score; 3 + 4 = 7, stage IIa June 2014: TURP Gleason 3 + 3 = 6 PCa15 75 10.34 0.005 0.004 0 0.017 September 2014 PCa operated; pT2c, pN0 (0/16 LK), cM0, L0, V0, Pn1, R1 (multifocal dorso-peripheral, right), Gleason score 4 + 3 = 7, stage IIb PCa16 69 5.72 0.044 0.011 0.033 0.133 September 2014 PCa operated; pT2c, pN0 (0/24 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score 3 + 4 = 7, stage IIb July 2014 Pb (5/7 cylinders positive, left side) PCa17 59 8.52 0 0.054 0 0 September 2014 Pb with 2/20 cylinders positive, Gleason score 3 + 3 = 6; stage IIa PCa18 71 0.12 0 0.059 0.096 0.025 August 2014 PCa operated; pT2a, pN0 (0/13 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score: 4 + 3 = 7; third differentiation pattern Gleason 5, stage IIIa February 2014 Pb: 1/6 cylinders positive, right side, Gleason score, 3 + 3 = 6 PCa19 79 4.48 0 0 0 0.01 August 2014 PCa operated; pT2c, pN0 (0/10 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score: 3 + 4 = 7, stage IIb July 2014 Pb: 6/12 cylinders positive, both sides, Gleason 3 + 4 = 7 PCa20 60 10.88 0.062 0 0 0.009 August 2014 PCa operated; pT3a, pN0 (0/25 LK), cM0, L0, V0, Pn1, R0 (local), Gleason score: 3 + 4 = 7, stage IIb [1] October 2014: TURP (12 g) owing to prostatic hyperplasia; histology: due to isolated glandular proliferations of unknown malignancy status, further immunohistochemical tests were carried out (using anti-CK4/14 and anti-racemase antibodies). The results showed glands having incomplete loss of basal cytokeratins with no substantial racemase overexpression, so the diagnosis was atypical adenomatous hyperplasia (AAH); to date, this has not been able to support the existence of an invasive carcinoma in the material available. [2] October 2014: TRUS saturation biopsy (25 biopsy cylinders) due to PSA incease to 14.23 ng/ml. Prostate needle cylinder material 1 to 13 showed isolated hyperplastic glands, some in small groups, and largely diffuse hyperplasia of the fibromuscular stroma, also with regressive changes in some foci showing prostate gland atrophy and postatrophic hyperplasia, as well as locally moderate basal cell hyperplasia and moderate chronic active prostatitis elsewhere, minor in some foci; further immunohistochemical tests carried out on samples 2 and 7 due to isolated glandular proliferations of unknown malignancy status. In the area around the aforementioned glandular proliferation, the subsequent tests predominantly showed sustained expression of basal cytokeratins (with expression of CK5/14 but no detection of racemase overexpression), so the diagnosis was atrophic prostate glands. No indication of malignancy in the material available. [3] February 2016: TURP (94 g) due to prostatic hyperplasia requiring an indwelling catheter with further PSA increase to 20.5 ng/ml. Due to isolated glandular proliferations of unknown malignancy status, immunohistochemical tests were carried out (using antibodies against CK5/14, racemase, calretinin, pan-cytokeratin, CK7, cadherin 17, p63, PAX8, CD34, 34βE12. androgen receptor, EMA, PSA and WT1). Within the aforementioned abnormal glandular proliferations, these tests detected expression of pan-cytokeratin and, in some cases, CK7 and EMA, and androgen receptor at nuclear level, with no expression of WT1, PSA, racemase, cadherin 17, 34βE12 and p63, and largely no expression of CD34, PAX8 or calretinin. Since the Ki67 proliferation index was low (around 1%), taking account of the immunohistology and the PAS-positive intraluminal containments and secretions detectable in the PAS, the overall diagnosis is of a nephrogenic adenoma. No indication of malignancy in the material available. [4] August 2016: MR fusion transperineal (4 biopsy cylinders) and TRUS transrectal (12 biopsy cylinders) prostate biopsy. Prostate needle cylinders 1-16 showing fibromuscular nodular stromal hyperplasia, with prostate gland atrophy and hypertrophic prostate glands, some foci showing chronic uncharacteristic inflammation reaction and some showing squamous epithelial metaplasia in the larger excretory ducts; detection of urothelial metaplasia in larger excretory ducts. No indication of intraepithelial neoplasia/dysplasia or malignancy in material provided. PSA 10.94 ng/ml. However, October 2016: PCa detected. [5] March 2016; Prostate needle cylinders 1-17 showing benign adenomatous parenchymal hyperplasia, fibromyomatous in some parts, and some sites with pronounced basal cell hyperplasia of the glandular epithelium and gland atrophy, some sites showing minor secretion retention, isolated corpora amylacea detected in gland lumens; sample 7 showing small foci of high-grade prostatic intraepithelial neoplasia (HGPIN) and in some parts non-recent to moderately chronic and florid non-specific prostatitis. [6] November 2014: Prostate needle cylinder material 1 of 17 (right, apical, peripheral) showing small foci of infiltration due to largely minor glandular, isolated, confluent prostate adenocarcinoma with moderate nuclear pleomorphism, taking up around 5% of the original cylinder surface area; largest coherent carcinoma lesion measuring 1.2 mm. Gleason score: 3 + 4 = 7 (of which Gleason 3 90%, Gleason 4 10%). Stage IIa. [7] August 2014: MRT fusion, ultrasound guided transperineal prostate biopsy (6 biopsy cylinders) and TRUS prostate biopsy: Prostate needle cylinders 1-18 showing nodular stromal hyperplasia, prostate gland hyperplasia and, in parts, atrophic prostate glands, with numerous corpora amylacea in slightly dilated glands. No indication of intraepithelial neoplasia/dysplasia or malignancy in the material provided. [8] September 2015: MRT fusion transperineal prostate biopsy (8 cylinders) and transrectal prostate biopsy (12 cylinders); MRT showed PI-RADS 4 basal lesions to the left in the transitional region and to the right in the central prostate third in the transitional region; the digital rectal examination produced no suspicious tactile findings. A total of 20 cylinders were taken, and malignancy was ruled out on the basis of the needle biopsy with PSA re-measured at 14.2 ng/ml. [9] September 2016: Histology showed small acinar adenocarcinoma with moderate nuclear pleomorphism in individual chips, though carcinoma occupied less than 5% of the surface area tested. Recommended treatment: active surveillance with monitoring biopsy in 3-6 months, or watchful waiting. [10] March 2016: Prostate resection chips showing nodular, muscular and glandular (adenomyomatous) prostatic hyperplasia, focally with basal cell hyperplasia, cystically expanded glands with secretion retention and inflammation reaction, in some cases chronic and in others resorptive; corpora amylacea also detected, focally with calcium carbonate stroma encrustation, including portions of the pars prostatica urethrae with largely regular urothelium. No indication of intraepithelial neoplasia/dysplasia or malignancy in this material. [11] August 2014: MR fusion, ultrasound-guided transperineal (8 cylinders) prostate biopsy and transrectal ultrasound-guided prostate biopsy (12 cylinders). Prostate needle cylinders 1-20 showing nodular stromal hyperplasia and prostate gland atrophy and, in parts, hypertrophic prostate glands, focally chronic uncharacteristic inflammation reaction; cylinders 9 and 12 each showing abnormal small acinar proliferation of unknown malignancy status (formerly ASAP). For material 9 and 12, further immunohistological tests showed small acinar proliferation with intermittent CK5/14-positive basal cell layer. Negative racemase reaction, so no indication of prostate cancer. [12] November 2014 Histopathological findings (Rx resection) lead to recommendation of PSA-based after-care with salvage radiotherapy in the event of PSA recurrence; otherwise adjuvant RTx. Additionally PSA monitoring (PSA = 0.12 ng/ml) to confirm post-operative PSA normalisation.

Embodiment 12: Testing Serum Samples from Healthy Patients and Breast and Ovarian Cancer Patients

The tests showed that very low methylation rates (≤0.05%) could be detected in all the serum samples from healthy subjects, especially when using the GSTP1 116 bp primer pair, whereas the serum samples from female subjects with breast and ovarian cancer showed clearly distinct elevated values (Table 31). While 18 out of 23 samples were positive when using the primer pair GSTP1 116 bp primer pair, 5 out of 23 samples showed positive signals when the GSTP1 120 bp primer pair was used and 12 out of 23 were positive with the RASSF1A 117 bp primer pair. What was interesting was that, when the GSTP1 120 bp primer pair was used, positive signals that had been negative with the GSTP1 116 bp primer pair were measured once again in two patient samples; this means that the combination of the two primer pairs can lead to increased diagnostic sensitivity, whether they are used separately or simultaneously in one batch. 100% diagnostic sensitivity with a diagnostic specificity of 100% was achieved when the data obtained when using the GSTP1 primers was combined with that obtained from the RASSF1A primers (Table 31).

The data from a patient suffering from primary osseous and hepatic metastatic breast-CA prior to (P8a) and after eight weeks of chemotherapy (P8b) was also noteworthy. In addition to the CA 15-3 value dropping from 941.4 U/ml to 133.0 U/ml, drops were also noted in the methylation values for GSTP1 116 bp (0.9% to 0%) and RASSF1A 117 bp (18.9% to 2%). This result points to a good response to treatment. Following the completion of treatment, the GSTP1 and RASSF1A methylation values were already in the normal range, while the CA 15-3 values was still elevated; this can be explained by the longer biological half-life. These results illustrate the potential offered by BBPA-dPCR tests for direct treatment and progress monitoring, and the detection of MRD, since the concentration of fcT-DNA drops significantly faster than conventional tumour markers such as CA 15-3 when the treatment is successful. Therefore, this method can also be used as an aid for treatment decisions, such as the issue of the need to undergo subsequent direct chemo and/or radiotherapy following a successful tumour operation, depending on whether the initially elevated fcT-DNA concentrations drop to the normal range or, ideally, are no longer detectable, thus ruling out an MRD.

The sample P24 came from a 32-year-old female who had a pathological mutation in the BRCA-1 gene with an associated family risk for breast and ovarian cancer. The patient's mother had developed breast cancer at just 33, the patient's grandmother at 56. The patient underwent a prophylactic subcutaneous mastectomy at her own wish. The histological tests carried out on the surgical specimens did not show any indication of intraepithelial neoplasia/dysplasia or malignancy, and the tumour marker CA 15-3 was also normal. Surprisingly, though, elevated values were already noted when the GSTP1 116 bp primer pair was used in the BBPA-dPCR (Table 31). This leads us to conclude that this technique can indicate early pathological changes, e.g. by means of a blood test (liquid biopsy), in patients having a higher family risk of breast and ovarian cancer, and that this method can be used as a decision aid in relation to a prophylactic mastectomy or ovariectomy, in particular when the patients affected are still planning a family.

In principle, the novel BBPA-dPCR being described can be used for all potential target gene sequences in which the methylation level differs between healthy and diseased subjects. After designing the primers and probes in accordance with the above-described principles, the bias towards methylated and unmethylated target sequences and the optimum number of BBPA cycles can be empirically determined using a sample having a known methylation level according to the annealing temperature and the MgCl₂ concentration, e.g. for septin-9 (SEPT9, HGNC:HGNC: 7323 Ensembl: ENSG00000184640, SEQ ID No 140-144, 159-164 and 179-184). On the basis of the data obtained, the conditions for each primer pair are set such that the target sequence to be analysed (methylated or unmethylated) can be copied to the maximum possible extent while the control target sequences (unmethylated or methylated wild-type sequences) can still be copied to a sufficient extent. In this way, the values determined for the target sequences can be correlated with those for the wild-type DNA sequences acting as the internal control and the quantity of the bisulphite-converted DNA introduced into the BBPA-dPCR can thus be taken into account. Additionally, this process makes it possible to obtain high analytical sensitivities similar to those in the MS-PCR technique (using methyl-specific (MS) primers), without increased numbers of false-positive signals occurring, as is the case with the MS-PCR technique [4]. Compared with the MS-HRM technique (using methyl-independent (MIP) primers), in which fewer false-positive signals occur than in MS-PCR, the BBPA-dPCR technique has a much higher analytical and thus diagnostic sensitivity. If diagnostic specificities of almost 100% can also be achieved in this manner for new target sequences using the BBPA-dPCR, these target sequences can be added to the above-described panel of targets of interest (PLA2R1, RASSF1A, GSTP1, SERPINE1, AOX1, TM and/or septin-9) in order to further increase the diagnostic sensitivity for detecting malignant diseases such as prostate, breast, ovarian and renal cell cancers, as well as other solid tumours such as colorectal cancer.

TABLE 20 Number of copies of methylated (met) and unmethylated (unm) PLA2R1 sequences without BBPA and after 50 BBPA cycles at 63.0° C. and an MgCl₂ concentration of 2.5 mmol/l in normal prostate epithelial cells (PrEC), the benign prostatic hyperplasia cell line (BPH-1) and malignant prostate cancer cell lines (LNCaP, PC-3 and DU-145). Following BBPA, 1 μl of the, 25 μl PCR, batches was added to the dPCR and so the values following BBPA were multiplied by 25 for comparison. The terms PrEC 0×, BPH-1 0×, LNCaP 0×, PC-3 0× and DU-124 0× in the first column show the data without BBPA, and the terms PrEC 50×, BPH-1 50×, LNCaP 50×, PC-3 50× and DU-145 50× show the data after 50 BBPA cycles. Poisson Poisson Copies/ fractional fractional 20 μl Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional abundance abundance Sample Target well 1:25 Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets abundance min. max. PrEC PLA2R1 34 34 18 12233 0 18 813 11420 12251 2.1 1.1 3.1 0× met PrEC PLA2R1 1620 1620 813 11438 0× unm BPH-1 PLA2R1 270 270 157 13568 16 141 1632 11936 13725 8.3 7 9.5 0× Met BPH-1 PLA2R1 3000 3000 1648 12077 0× unm LNCaP PLA2R1 1660 1660 961 13172 9 952 116 13056 14133 88.8 86.9 90.7 0× met LNCaP PLA2R1 210 210 125 14008 0× unm PC-3 PLA2R1 1178 1178 623 12131 38 585 872 11259 12754 40.4 37.9 42.8 0× Met PC-3 PLA2R1 1740 1740 910 11844 0× unm DU-145 PLA2R1 3280 3280 1363 9117 0 1363 6 9111 10480 99.59 99.25 99.93 0× met DU-145 PLA2R1 14 14 6 10474 0× unm PrEC PLA2R1 0 0 0 12402 0 0 12269 133 12402 0 0 0 50× met PrEC PLA2R1 106800 2670000 12269 133 50× unm BPH-1 PLA2R1 0 0 0 11839 0 0 11690 149 11839 0 0 0 50× Met BPH-1 PLA2R1 103000 2575000 11690 149 50× unm LNCaP PLA2R1 115400 2885000 11674 87 140 11534 0 87 11761 99.757 99.715 99.798 50× Met LNCaP PLA2R1 282 7050 140 11621 50× unm PC-3 PLA2R1 72600 1815000 11867 566 11858 9 229 337 12433 46.3 45.3 47.3 50× met PC-3 PLA2R1 84200 2105000 12087 346 50× unm DU-145 PLA2R1 186000 4650000 13181 5 0 13181 0 5 13186 100 100 100 50× met DU-145 PLA2R1 0 0 0 13186 50 × 5 unm

TABLE 21 Number of copies of methylated (M) and unmethylated (U) RASSF1A DNA fragments following 15 pre-amplification cycles at rising annealing temperatures (50-60° C.) as a function of MgCl₂ concentrations (1.5 mM-8.0 mM) using the RASSF1A 117 bp primer pair (SEQ ID: 3 and 4) and RASSF1A 124 bp primer pair (SEQ ID: 61 and 62) and subsequent dPCR. R-117 Tm in ° C. M U M U M U M U M U M U 60 44 0 1580 0 868 454 3800 402 2520 270 6060 300 59.2 130 3.2 1960 0 942 310 4460 5 3520 26 5340 38 58 664 104 3020 118 456 272 3360 92 2680 184 8080 134 56.1 2800 1.8 1016 46 476 224 1978 532 1352 788 4780 1920 53.8 1724 40 392 920 90 194 628 860 980 1258 1892 1960 51.9 1142 706 184 572 34 48 78 366 158 258 566 680 50.7 1082 776 70 344 9.6 28 19.4 64 52 78 56 280 50 1014 1336 74 154 2.6 9.2 10.4 44 22.8 30 76 126 MgCl₂ 1.5 mM 2.5 mM 3.5 mM 4.5 mM 6.0 mM 8.0 mM R-124 Tm in ° C. M U M U M U M U M U M U 60 292 0 2240 168 4040 122 6600 0 9460 0 4640 0 59.2 1232 0 7580 120 5060 8.4 4840 0 11720 0 4760 0 58 2230 1.6 5380 8 5380 0 8240 0 8340 20 7600 9 56.1 4840 0 5920 244 5220 10.6 1466 0 5480 0 8100 0 53.8 5900 14 1470 514 10780 0 8580 720 5920 3 5560 474 51.9 5220 20 470 124 7500 48 7620 58 5460 330 4200 78 50.7 5180 30 202 140 4960 138 2430 234 3180 616 3840 144 50 3000 290 136 82 4720 298 2880 472 1906 372 3760 768 MgCl₂ 1.5 mM 2.5 mM 3.5 mM 4.5 mM 6.0 mM 8.0 mM

TABLE 22 Number of copies of methylated (M) and unmethylated (U) GSTP1 DNA fragments following 15 pre- amplification cycles at rising annealing temperatures (50-60° C.) as a function of MgCl₂ concentrations (1.5 mM-8.0 mM) using the GSTP1 114 bp primer pair (SEQ ID: 91 and 92), the GSTP1 116 bp primer pair (SEQ ID: 93 and 94), the GSTP1 129 bp primer pair (SEQ ID: 95 and 96) and the GSTP1 132 bp primer pair (SEQ ID: 97 and 98) and subsequent dPCR. GSTP 114 bp (3 CpG sites) Tm in ° C. M U M U M U M U M U M U 60 764 1.8 9660 0 11180 26 17220 124 8080 12 17140 130 59.2 726 1.6 7820 14 17660 30 19560 44 6740 12 14980 36 58 2380 12.6 10440 7.2 12640 92 17640 64 16180 146 6480 56 56.1 6640 0 14820 30 21760 198 17660 624 19600 896 14060 1516 53.8 8520 13.6 15100 938 11440 1068 13940 2500 8680 2560 7960 1960 51.9 9200 200 12140 1580 7520 2560 5460 1860 2900 1780 960 666 50.7 8680 390 7140 3740 4140 2500 2700 1126 868 824 122 100 50 6780 678 6740 1680 2620 3160 2360 926 506 466 460 254 MgCl₂ 1.5 mM 2.5 mM 3.5 mM 4.5 mM 6.0 mM 8.0 mM GSTP 116 bp (3 CpG sites) Tm in ° C. M U M U M U M U M U M U 60 284 24 5700 1.6 11260 2.8 16340 1.6 14960 252 7960 4.8 59.2 778 2.8 7760 5 13700 11.4 18920 14 17420 10.2 8160 11.4 58 1544 6.8 7560 5 22640 16.6 16740 4.4 17560 17.2 16220 6.2 56.1 4260 6 19880 12.8 25420 100 20640 390 17980 376 12640 134 53.8 9040 9.2 23020 108 24540 774 18480 1760 23280 1014 13560 582 51.9 10560 262 11520 776 16740 2400 15620 5280 15600 4560 8740 2100 50.7 5400 46 16120 1028 12960 4800 10520 5680 13500 4060 6200 2460 50 9200 86 14800 2300 14900 5100 14720 4800 8480 3660 4760 1800 MgCl₂ 1.5 mM 2.5 mM 3.5 mM 4.5 mM 6.0 mM 8.0 mM GSTP 129 bp 4 CpG sites) Tm in ° C. M U M U M U M U M U 60 578 14 8940 16 15220 0 19040 5.4 15140 24 59.2 450 4.6 7420 22 15900 204 26660 46 18400 15.4 58 1462 9.4 10660 14 22880 10 35400 4.4 15620 34 56.1 5480 10.8 24640 6 21860 16 25800 44 24880 30 53.8 12020 11.4 17060 22 15820 170 27780 350 16460 216 51.9 8740 22 20160 254 20480 370 21740 1068 18740 234 50.7 8720 7.8 15960 208 19100 544 22980 1144 16060 474 50 9220 110 19480 312 19520 892 16900 962 10440 516 MgCl₂ 1.5 mM 2.5 mM 3.5 mM 4.5 mM 6.0 mM GSTP 132 bp (3 CpG sites, one CPG directly at 3′ end) Tm in ° C. M U M U M U M U M U 60 98 6 5420 1.6 8640 3 15740 380 11080 8.4 59.2 264 4.8 4860 10.2 13100 0 12120 0 9260 9.6 58 988 3.2 8520 282 19520 4.8 17740 14 19060 20 56.1 4160 24 14040 7.8 13580 14 22340 4.2 12020 40 53.8 4920 2.8 20460 94 19300 66 18540 174 11700 422 51.9 6820 16 11360 100 18440 360 13400 718 8260 1100 50.7 6580 18 11820 314 12920 808 14760 1002 6820 756 50 5020 82 10820 230 14660 1182 7380 334 5520 1000 MgCl₂ 1.5 mM 2.5 mM 3.5 mM 4.5 mM 6.0 mM

TABLE 23 Number of copies of methylated (M) and unmethylated (U) PLA2R1 DNA fragments (copies/20 μl well), proportion M/U (ratio) and relative proportion M/M + U (fractional abundance) in samples having 3,000 (trace 1), 20 (trace 2), 10 (trace 3) 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, and for each case a proportion of 70,000 (70K/0-3000), 175,000 (170K/0-3000), 350,000 (350K/0-3000) and 700,000 (700K/0-3000) copies of unmethylated PLA2R1 DNA fragments using the primer pair 168 bp (SEQ ID: 1 and 2) without pre-amplification. NTC: non-template negative control. Copies/ 20 μl Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional Sample Target well Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance 70K/0 M 0 0 14071 0 0 13369 702 14071 0 0 U 70600 13369 702 70K/5 M 5.4 3 13198 3 0 12584 614 13201 7.00E−05 0.007 U 72200 12587 614 70K/10 M 10 6 14086 4 2 13438 648 14092 0.00014 0.014 U 72400 13442 650 70K/20 M 28 13 11255 12 1 10718 537 11268 0.00038 0.038 U 71600 10730 538 70K/3000 M 2780 1640 13103 1479 161 12415 688 14743 0.0413 3.97 U 67200 13894 849 175K/0 M 0 0 13938 0 0 13926 12 13938 0 0 U 166000 13926 12 175K/5 M 3.8 2 12554 2 0 12548 6 12556  2.1E−05 0.0021 U 180000 12550 6 175K/10 M 9.4 5 12592 5 0 12585 7 12597  5.3E−05 0.0053 U 176000 12590 7 175K/20 M 16 9 13287 9 0 13286 1 13296 7.00E−05 0.007 U 224000 13295 1 175K/3000 M 1968 891 10215 887 4 10210 5 11106 0.0117 1.16 U 168000 11097 9 350K/0 M 0 0 14661 0 0 14661 0 14661 0 0 U 20000000 14661 0 360K/5 M 2 1 12059 1 0 12059 0 12060 1.00E−07 1.00E−05 U 20000000 12060 0 350K/10 M 0 0 12984 0 0 12981 3 12984 0 0 U 198000 12981 3 350K/20 M 6.4 3 10969 3 0 10967 2 10972  3.2E−05 0.0032 U 202000 10970 2 350K/3000 M 560 283 11757 283 0 11756 1 12040 0.0025 0.25 U 222000 12039 1 700K/0 M 0 0 11327 0 0 11327 0 11327 0 0 U 20000000 11327 0 700K/5 M 0 0 10189 0 0 10189 0 10189 0 0 U 20000000 10189 0 700K/10 M 0 0 9889 0 0 9872 17 9889 0 0 U 150000 9872 17 700K/20 M 0 0 11500 0 0 11499 1 11500 0 0 U 220000 11499 1 700K/3000 M 114 50 10332 50 0 10328 4 10382 0.00061 0.061 U 184000 10378 4 NTC M 0 0 12186 0 0 1 12185 12186 0 0 U 2 1 12185

TABLE 24 Number of copies of methylated (M) and unmethylated (U) PLA2R1 DNA fragments (copies/20 μl well), proportion M/U (ratio) and relative proportion M/M + U (fractional abundance) in samples having 3,000 (trace 1), 20 (trace 2), 10 (trace 3) 5 (trace 4) and no copies (trace 5) of methylated PLA2R1 DNA fragments, and for each case a proportion of 70,000 (70K/0-3000), 175,000 (170K/0-3000), 350,000 (350K/0-3000) and 700,000 (700K/0-3000) copies of unmethylated PLA2R1 DNA fragments using the primer pair 133 bp (SEQ ID: 7 and 8) without pre-amplification. NTC: non-template negative control. Copies/ 20 μl Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional Sample Target well Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance 70K/0 M 0 0 15481 0 0 2 15479 15481 0 0 U 3 2 15479 70K/5 M 1.8 1 13718 0 1 6 13712 13719 0.17 14 U 10.2 6 13713 70K/10 M 13 8 14504 0 8 7 14497 14512 1.1 53 U 11.4 7 14505 70K/20 M 24 13 12954 0 13 8 12946 12967 1.6 62 U 14 8 12959 70K/3000 M 3320 1585 10455 0 1585 9 10446 12040 190 99.47 U 18 9 12031 175K/0 M 2.6 2 17436 0 2 27 17409 17438 0.07 7 U 36 27 17411 175K/5 M 1.4 1 17244 0 1 1 17243 17245 1 50 U 1.4 1 17244 175K/10 M 8 5 14708 0 5 26 14682 14713 0.19 16 U 42 26 14687 175K/20 M 22 12 12577 0 12 14 12563 12589 0.9 46 U 26 14 12575 175K/3000 M 3020 1749 12789 1 1748 21 12768 14538 85 98.83 U 36 22 14516 350K/0 M 32 20 14348 0 20 19 14329 14368 1.1 51 U 32 19 14349 350K/5 M 142 71 11757 0 71 28 11729 11828 2.5 72 U 56 28 11800 350K/10 M 16 8 11558 0 8 38 11520 11566 0.21 17 U 78 38 11528 350K/20 M 20 11 13597 0 11 50 13547 13608 0.22 18 U 86 50 13558 350K/3000 M 3160 1553 10816 0 1553 40 10776 12369 41 97.6 U 76 40 12329 700K/0 M 0 0 12883 0 0 62 12821 12883 0 0 U 114 62 12821 700K/5 M 0 0 11231 0 0 66 11165 11231 0 0 U 138 66 11165 700K/10 M 6 3 11863 0 3 40 11823 11866 0.07 7 U 80 40 11826 700K/20 M 8 4 11745 0 4 75 11670 11749 0.05 5 U 150 75 11674 0 700K/3000 M 3140 1360 9515 1 1359 84 9431 10875 17 94.5 U 184 85 10790 NTC M 0 0 16702 0 0 1 16701 16702 0 0 U 1.4 1 16701 0 0 1 16701 16702

TABLE 25 Number of copies of methylated (M) and unmethylated (U) PLA2R1 DNA fragments (copies/20 μl well), proportion M/U (ratio) and relative proportion M/M + U (fractional abundance) in samples having 0, 5, 10, 20 and 3,000 copies of methylated PLA2R1 DNA fragments, and for each case a proportion of 70,000 (70K/0-3000), 175,000 (170K/0-3000), 350,000 (350K/0-3000) and 700,000 (700K/0-3000) copies of unmethylated PLA2R1 DNA fragments using the primer pair 168 bp (SEQ ID: 1 and 2, shown in the right-hand column), the primer pair 161 bp (SEQ ID: 53 and 10) and the primer pair 150 bp (SEQ ID: 53 and 9) after 15 pre-amplification cycles at an MgCl₂ concentration of 2.5 mM and an annealing temperature of 63° C. and subsequent dPCR. NTC: non-template negative control. Copies/20 μl Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional Sample Target well Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance PLA2R1 70K/0 M 0 0 13332 0 0 13331 1 13332 0 0 168 bp U 224000 13331 1 70K/5 M 0 0 10775 0 0 10775 0 10775 0 0 U 20000000 10775 0 70K/10 M 0 0 11431 0 0 11431 0 11431 0 0 U 20000000 11431 0 70K/20 M 1.8 1 13839 1 0 13824 15 13840 1.1E−05 0.0011 U 160000 13825 15 70K/3000 M 5880 2845 10030 2845 0 10030 0 12875 0.00029 0.029 U 20000000 12875 0 175K/0 M 0 0 12634 0 0 12632 2 12634 0 0 U 206000 12632 2 175K/5 M 0 0 12656 0 0 12656 0 12656 0 0 U 20000000 12656 0 175K/10 M 0 0 12889 0 0 12888 1 12889 0 0 U 222000 12888 1 175K/20 M 0 0 12562 0 0 12560 12562 0 0 U 20000000 12562 0 175K/3000 M 11.2 6 12622 6 0 12622 0 12628 6.00E−07 6.00E−05 U 20000000 12628 0 350K/0 M 0 0 13868 0 0 13868 0 13868 0 0 U 20000000 13868 0 350K/5 M 0 0 13080 0 0 13077 13080 0 0 U 198000 13077 3 350K/10 M 0 0 14193 0 0 14188 5 14193 0 0 U 188000 14188 5 350K/20 M 0 0 14508 0 0 14503 5 14508 0 0 U 188000 14503 5 350K/3000 M 0 0 13295 0 0 13295 0 13295 0 0 U 20000000 13295 0 700K/0 M 0 0 14732 0 0 14729 3 14732 0 0 U 200000 14729 3 700K/5 M 0 0 13799 0 0 13799 0 13799 0 0 U 20000000 13799 0 700K/10 M 0 0 13579 0 0 13579 0 13579 0 0 U 20000000 13579 0 700K/20 M 0 0 10322 0 0 10321 10322 0 0 U 218000 10321 1 700K/3000 M 0 0 12072 0 0 12071 1 12072 0 0 U 222000 12071 1 70K/0 M 252 144 13392 17 127 1400 11992 13536 0.097 8.8 161 bp U 2600 1417 12119 70K/5 M 264 142 12622 62 80 5878 6744 12764 0.0179 1.76 U 14740 5940 6824 70K/10 M 174 99 13355 36 63 4202 9153 13454 0.0195 1.91 U 8900 4238 9216 70K/20 M 1180 668 12992 262 406 7252 5740 13660 0.0628 5.91 U 18800 7514 6146 70K/3000 M 95000 14721 265 17 14704 0 265 14986 3600 99.972 U 26 17 14969 175K/0 M 38 23 14359 5 18 1270 13089 14382 0.017 1.7 U 2180 1275 13107 175K/5 M 344 187 12734 96 91 5027 7707 12921 0.0289 2.81 U 11880 5123 7798 175K/10 M 476 263 12886 196 67 9772 3114 13149 0.0142 1.4 U 33400 9968 3181 175K/20 M 1382 873 14429 535 338 8245 6184 15302 0.0689 6.44 U 20060 8780 6522 175K/3000 M 132800 13824 49 743 13081 2 47 13873 102 99.03 U 1298 745 13128 350K/0 M 0 0 14731 0 0 2731 12000 14731 0 0 U 4820 2731 12000 350K/5 M 48 32 15565 18 14 5530 10035 15597 0.0047 0.47 U 10340 5548 10049 350K/10 M 172 116 15774 75 41 7280 8494 15890 0.0118 1.17 U 14620 7355 8535 350K/20 M 994 578 13382 552 26 13193 189 13960 0.0101 1 U 98200 13745 215 350K/3000 M 104800 15203 179 2323 12880 11 168 15382 27.1 96.44 U 3880 2334 13048 700K/0 M 50 28 13360 23 5 8016 5344 13388 0.0023 0.23 U 21580 8039 5349 700K/5 M 0 0 13344 0 0 14 13330 13344 0 0 U 24 14 13330 700K/10 M 312 155 11614 154 1 14760 850 11769 0.005 0.5 U 61800 10918 851 700K/20 M 680 417 14213 417 0 133783 430 14630 0.0082 0.81 U 83000 14200 430 700K/3000 M 121600 13316 76 9932 3384 49 27 13392 3.78 79.1 U 32180 9981 3411 70K/0 M 1.8 1 13056 0 1 2201 10855 13057 0.0004 0.04 150 bp U 4340 2201 10856 70K/5 M 1126 597 12181 84 513 2285 9896 12778 0.233 18.9 U 4820 2369 10409 70K/10 M 2214 1176 11914 238 938 2937 8977 13090 0.339 25.3 U 6540 3175 9915 70K/20 M 1954 917 10593 83 834 1273 9320 11510 0.66 39.8 U 2940 1356 10154 70K/3000 M 208000 13610 2 5 13605 0 2 13612 24000 100 U 8.6 5 13607 175K/0 M 336 208 14436 78 130 7291 7145 14644 0.0204 2 U 16460 7369 7275 175K/5 M 26 15 13524 0 15 7 13517 13539 2.1 68 U 12.2 7 13532 175K/10 M 3140 1872 13111 740 1132 6118 6993 14983 0.218 17.9 U 14400 6858 8125 175K/20 M 4360 2416 11841 445 1971 3608 8233 14257 0.555 35.7 U 7860 4053 10204 175K/3000 M 196000 12343 3 29 12314 0 3 12346 3500 99.972 U 56 29 12317 350K/0 M 13.8 8 13569 3 5 8570 4999 13577 0.05009 0.059 U 23480 8573 5004 350K/5 M 740 398 12472 221 177 7918 4554 12870 0.0314 3.04 U 23540 8139 4731 350K/10 M 1278 578 10354 293 285 5884 4470 10932 0.065 6.13 U 19580 6177 4755 350K/20 M 4300 2065 10286 1093 972 6630 3656 12351 0.186 15.7 U 23100 7723 4628 350K/3000 M 222000 12675 1 0 12675 0 1 12676 100 100 U 0 0 12676 700K/0 M 6.6 4 14339 3 1 11469 2870 14343 0.0001 0.017 U 37840 11472 2871 700K/5 M 458 281 14297 202 79 12338 1959 14578 0.0099 0.98 U 46300 12540 2038 700K/10 M 1396 801 13102 617 184 11285 1817 13903 0.0306 2.97 U 45620 11902 2001 700K/20 M 5300 2600 10289 1756 844 8252 2037 12889 0.15 13.1 U 35260 10008 2881 700K/3000 M 196000 12054 3 271 11783 0 3 12057 370 99.73 U 534 271 11786 NTC M 0 0 11564 0 0 1 11563 11564 0 0 U 2 1 11563

TABLE 26 Number of copies of methylated (M) and unmethylated (U) PLA2R1 DNA fragments (copies/20 μl well), proportion M/U (ratio) and relative proportion M/M + U (fractional abundance) in samples having 0, 5, 10, 20 and 3,000 copies of methylated PLA2R1 DNA fragments, and for each case a proportion of 70,000 (70K/0-3000), 175,000 (170K/0-3000), 350,000 (350K/0-3000) and 700,000 (700K/0-3000) copies of unmethylated PLA2R1 DNA fragments using the primer pair 168 bp (SEQ ID: 1 and 2, shown in the right-hand column), the primer pair 161 bp (SEQ ID: 53 and 10) and the primer pair 150 bp (SEQ ID: 53 and 9) after 50 pre-amplification cycles at an MgCl₂ concentration of 2.5 mM and an annealing temperature of 63° C. and subsequent dPCR. NTC: non-template negative control. Copies/ 20 μl Posi- Nega- Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional Sample Target well tive tive Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abudance PLA2R1 70K/0 M 0 0 12316 0 0 12315 1 12316 0 0 168 bp U 222000 12315 1 70K/5 M 1.8 1 12779 1 0 12779 0 12780 9.00E−08 9.00E−06 U 20000000 12780 0 70K/10 M 0 0 13964 0 0 13964 0 13964 0 0 U 20000000 13964 0 70K/20 M 0 0 11379 0 0 11379 0 11379 0 0 U 20000000 11379 0 70K/3000 M 66400 10448 662 10448 0 661 1 11110 0.3 23.2 U 220000 11109 1 175K/0 M 0 0 12717 0 0 12711 6 12717 0 0 U 180000 12711 6 175K/5 M 0 0 13886 0 0 13883 3 13886 0 0 U 198000 13883 3 175K/10 M 0 0 13828 0 0 13827 1 13828 0 0 U 224000 13827 1 175K/20 M 0 0 13782 0 0 13781 1 13782 0 0 U 224000 13781 1 175K/3000 M 1010 560 12764 560 0 12764 0 13324  5.1E−05 0.0051 U 20000000 13324 0 350K/0 M 2 1 11827 1 0 11827 0 11828 1.00E−07 1.00E−05 U 20000000 11828 0 350K/5 M 3.8 2 12441 2 0 12441 0 12443  1.9E−07  1.9E−05 U 20000000 12443 0 350K/10 M 0 0 12247 0 0 12247 0 12247 0 0 U 20000000 12247 0 350K/20 M 0 0 12760 0 0 12759 1 12760 0 0 U 222000 12759 1 350K/3000 M 6.2 3 11393 3 0 11393 0 11396  3.1E−07  3.1E−05 U 20000000 11396 0 700K/0 M 10.6 6 13199 6 0 13199 0 13205 5.00E−07 5.00E−05 U 20000000 13205 0 700K/5 M 0 0 11011 0 0 11011 0 11011 0 0 U 20000000 11011 0 700K/10 M 0 0 10392 0 0 10392 0 10392 0 0 U 20000000 10392 0 700K/20 M 2.4 1 9789 1 0 9789 0 9790  1.2E−07  1.2E−05 U 20000000 9790 0 700K/3000 M 2 1 11840 1 0 11839 1 11841 9.00E−06 0.0009 U 220000 11840 1 70K/0 M 0 0 16276 0 0 1169 15107 16276 0 0 161 bp U 1760 1169 15107 70K/5 M 1.8 1 12665 1 0 12642 23 12666  1.3E−05 0.0013 U 148400 12643 23 70K/10 M 1.4 1 16320 1 0 16191 129 16321  1.3E−05 0.0013 U 113800 16192 129 70K/20 M 542 315 13509 315 0 13509 0 13824  2.7E−05 0.0027 U 20000000 13824 0 70K/3000 M 20000000 13433 0 0 13433 0 0 13433 100 U 0 0 13433 175K/0 M 4 2 12059 2 0 11282 777 12061 6.00E−05 0.006 U 64600 11284 777 175K/5 M 1.8 1 12715 1 0 12706 9 12716  1.1E−05 0.0011 U 170000 12707 9 175K/10 M 0 0 12541 0 0 12537 4 12541 0 0 U 190000 12537 4 175K/20 M 17.6 10 13290 10 0 13288 2 13300 9.00E−05 0.009 U 208000 13298 2 175K/3000 M 226000 14492 1 362 14130 0 1 14493 380 99.74 U 596 362 14131 350K/0 M 0 0 14659 0 0 14574 85 14659 0 0 U 121200 14574 85 350K/5 M 0 0 15066 0 0 15055 11 15066 0 0 U 170000 15055 11 350K/10 M 1.8 1 13384 1 0 13383 1 13385 8.00E−06 0.0008 U 224000 13384 1 350K/20 M 100 59 13894 59 0 13892 2 13953 0.00048 0.048 U 208000 13951 2 350K/3000 M 206000 12365 2 1741 10624 0 2 12367 58 98.29 U 3580 1741 10626 700K/0 M 9.8 5 12126 5 0 12119 7 12131 6.00E−05 0.006 U 176000 12124 7 700K/5 M 0 0 13123 0 0 233 12890 13123 0 0 U 422 233 12890 700K/10 M 0 0 14715 0 0 14712 3 14715 0 0 U 200000 14712 3 700K/20 M 7 4 13428 4 0 13427 1 13432  3.1E−05 0.0031 U 224000 13431 1 700K/3000 M 20000000 14850 0 14847 3 0 0 14850 100 99 U 200000 14847 3 70K/0 M 1.4 1 16313 1 0 16313 0 16314 7.00E−08 7.00E−06 150 bp U 20000000 16314 0 70K/5 M 136000 12892 40 12838 54 40 0 12932 1.05 51.3 U 129000 12878 54 70K/10 M 104600 13330 158 13209 121 149 9 13488 0.958 48.9 U 109200 13358 130 70K/20 M 172000 12971 9 1311 11660 0 9 12980 68 98.56 U 2500 1311 11669 70K/3000 M 20000000 13448 0 0 13448 0 0 13448 100 U 0 0 13448 175K/0 M 4.4 3 15894 3 0 15893 1 15897 2.00E−05 0.002 U 228000 15896 1 175K/5 M 19.2 11 13482 0 11 0 13482 13493 0 0 U 0 0 13493 175K/10 M 20000000 14399 0 14399 0 0 0 14399 1 50 U 20000000 14399 0 175K/20 M 20000000 14118 0 13754 364 0 0 14118 230 99.57 U 86000 13754 364 175K/3000 M 206000 12998 2 0 12998 0 2 13000 100 U 0 0 13000 350K/0 M 0 0 13480 0 0 13479 1 13480 0 0 U 224000 13479 1 350K/5 M 892 536 13866 536 0 13866 0 14402  4.5E−05 0.0045 U 20000000 14402 0 350K/10 M 17580 8007 7211 8007 0 7199 12 15218 0.105 9.5 U 168000 15206 12 350K/20 M 184000 14938 6 14938 0 2 4 14944 0.95 48.7 U 194000 14940 4 350K/3000 M 20000000 14921 0 0 14921 0 0 14921 100 U 0 0 14921 700K/0 M 6.8 4 13729 4 0 13729 0 13733  3.4E−07  3.4E−05 U 20000000 13733 0 700K/5 M 8.4 5 13937 5 0 13937 0 13942  4.2E−07  4.2E−05 U 20000000 13942 0 700K/10 M 142 74 12298 74 0 12297 1 12372 0.00064 0.064 U 222000 12371 1 700K/20 M 54220 12087 1340 12087 0 1340 0 13427 0.0027 0.27 U 20000000 13427 0 700K/3000 M 220000 11331 1 7 11324 0 1 11332 15000 99.993 U 14 7 11325 NTC M 0 0 15130 0 0 0 15130 15130 0 0 U 0 0 15130

TABLE 27 Number of copies of methylated (M) and unmethylated (U) PLA2R1 DNA fragments (copies/20 μl well), proportion M/U (ratio) and relative proportion M/M + U (fractional abundance) in samples having 0, 10, 20 and 3,000 copies of methylated PLA2R1 DNA fragments, and for each case a proportion of 70,000 (70K/0-3000), 175,000 (170K/0-3000), 350,000 (350K/0-3000) and 700,000 (700K/0-3000) copies of unmethylated PLA2R1 DNA fragments using the primer pair 133 bp (SEQ ID: 7 and 8) after 15 pre-amplification cycles at an MgCl₂ concentration of 1.5 mM or 6.0 mM and an annealing temperature of 50° C. and subsequent dPCR. NTC: non-template negative control. Copies/ Posi- Nega- Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional Sample Target 20 μl tive tive Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance MgCl₂ 70K/0 M 7.4 4 12620 1 3 8774 3846 12624 0.00027 0.027 1.5 mM U 27940 8775 3849 70K/5 M 1938 1081 12592 893 188 10688 1904 13673 0.0439 4.2 U 44180 11581 2092 70K/10 M 2642 1585 13335 1280 305 11016 2319 14920 0.0646 6.07 U 40900 12296 2624 70K/20 M 4980 2716 11547 1991 725 8731 2816 14263 0.152 13.17 U 32780 10722 3541 70K/3000 M 228000 16143 1 13 16130 0 1 16144 12.7 99.992 U 18 13 16131 175K/0 M 3 2 15991 0 2 15267 724 15993 4.00E−05 0.004 U 72800 15267 726 175K/5 M 1374 827 13748 820 7 13599 149 14575 0.0129 1.27 U 106800 14419 156 175K/10 M 2920 1518 11463 1504 14 11337 126 12981 0.0275 2.67 U 106600 12841 140 175K/20 M 4340 2534 12520 2443 91 12217 303 15054 0.0506 4.82 U 85800 14660 394 175K/3000 M 200000 15362 3 1274 14088 0 3 15365 99 99 U 2040 1274 14091 350K/0 M 394 249 14709 247 2 14670 39 14958 0.00285 0.284 U 138800 14917 41 350K/5 M 1980 1101 12543 1095 6 12514 29 13644 0.0141 1.39 U 140400 13609 35 350K/10 M 2660 1420 11905 1403 17 11765 140 13325 0.0254 2.47 U 104400 13168 157 350K/20 M 6660 3064 9355 3061 3 9340 15 12419 0.0433 4.15 U 154000 12401 18 350K/3000 M 20000000 13089 0 5406 7683 0 0 13089 1600 99.937 U 12540 5406 7683 700K/0 M 4.6 2 10144 2 0 10139 5 10146 2.6E−05 0.0026 U 180000 10141 5 700K/5 M 1206 512 9729 512 0 9721 8 10241 0.0072 0.71 U 168000 10233 8 700K/10 M 1914 954 11254 954 0 11247 7 12208 0.0109 1.08 U 176000 12201 7 700K/20 M 5820 3030 10810 3030 0 10805 5 13840 0.0312 3.02 U 186000 13835 5 700K/3000 M 148800 15035 27 10868 4167 0 27 15062 4.95 83.2 U 30080 10868 4194 70K/0 M 384 166 10081 166 0 10081 0 10247 1.9E−05 0.0019   6 mM U 20000000 10247 0 70K/5 M 4.4 2 10676 2 0 10676 0 10678 2.2E−07 2.2E−05 U 20000000 10678 0 70K/10 M 11.2 6 12627 6 0 12594 33 12633 8.00E−05 0.008 U 140000 12600 33 70K/20 M 8 4 11819 4 0 11819 0 11823 4.00E−07 4.00E−05 U 20000000 11823 0 70K/3000 M 20000000 12141 0 12140 1 0 0 12141 90 98.9 U 222000 12140 1 175K/0 M 0 0 13218 0 0 13218 0 13218 0 0 U 20000000 13218 0 175K/5 M 0 0 11762 0 0 11762 0 11762 0 0 U 20000000 11762 0 175K/10 M 2 1 11472 1 0 11472 0 11473 1.00E−07 1.00E−05 U 20000000 11473 0 175K/20 M 6.2 3 11227 3 0 11213 14 11230 4.00E−05 0.004 U 158000 11216 14 175K/3000 M 180000 14518 7 14516 2 2 5 14525 1 50 U 180000 14518 7 350K/0 M 3.2 2 14917 2 0 14915 2 14919 1.5E−05 0.0015 U 210000 14917 2 350K/5 M 0 0 16205 0 0 16205 0 16205 0 0 U 20000000 16205 0 350K/10 M 0 0 15567 0 0 15567 0 15567 0 0 U 20000000 15567 0 350K/20 M 1.4 1 15904 1 0 15904 0 15905 7.00E−08 7.00E−06 U 20000000 15905 0 350K/3000 M 98400 13487 209 13487 0 209 0 13696 0.0049 0.49 U 20000000 13696 0 700K/0 M 0 0 12117 0 0 12117 0 12117 0 0 U 20000000 12117 0 700K/5 M 0 0 15213 0 0 15213 0 15213 0 0 U 20000000 15213 0 700K/10 M 3 2 15564 2 0 15563 1 15566 1.3E−05 0.0013 U 228000 15565 1 700K/20 M 18.2 11 14274 11 0 14272 2 14285 9.00E−05 0.009 U 208000 14283 2 700K/3000 M 16840 8103 7752 8103 0 7750 2 15855 0.08 7.4 U 212000 15853 2 NTC M 0 0 16573 0 0 0 16573 16573 0 0 U 0 0 16573

TABLE 28 Number of copies of methylated (M) and unmethylated (U) PLA2R1 DNA fragments (copies/20 μl well), proportion M/U (ratio) and relative proportion M/M + U (fractional abundance) in samples having 0, 5, 10, 20 and 3,000 copies of methylated PLA2R1 DNA fragments, and for each case a proportion of 70,000 (70K/0-3000), 175,000 (170K/0-3000), 350,000 (350K/0-3000) and 700,000 (700K/0-3000) copies of unmethylated PLA2R1 DNA fragments using the primer pair 133 bp (SEQ ID: 7 and 8) after 15 pre-amplification cycles at an MgCl₂ concentration of 1.5 mM or 6.0 mM and an annealing temperature of 63° C. and subsequent dPCR. NTC: non-template negative control. Copies/20 μl Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional Well Sample Target well Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance MgCl₂ D03 70K/0 M 0 0 15574 0 0 64 15510 15574 0 0 1.5 mM U 96 64 15510 C03 70K/5 M 14 9 15186 0 9 54 15132 15195 0.17 14 U 84 54 15141 B03 70K/10 M 42 26 14512 0 26 64 14448 14538 0.41 29 U 104 64 14474 A03 70K/20 M 42 26 14816 0 26 55 14761 14842 0.47 32 U 88 55 14787 H02 70K/3000 M 3032 2179 15843 2 2177 91 15752 18022 25 96.1 U 122 93 17929 G02 175K/0 M 0 0 14398 0 0 188 14210 14398 0 0 U 310 188 14210 F02 175K/5 M 7.4 5 15993 0 5 223 15770 15998 0.022 2.2 U 330 223 15775 E02 175K/10 M 32 22 15991 0 22 260 15731 16013 0.084 7.7 U 386 260 15753 D02 175K/20 M 36 24 15674 0 24 237 15437 15698 0.101 9.1 U 358 237 15461 C02 175K/3000 M 6660 3889 11890 5 3884 143 11747 15779 30 96.8 U 222 148 15631 B02 350K/0 M 0 0 13714 0 0 294 13420 13714 0 0 U 510 294 13420 A02 350K/5 M 1.4 1 15766 0 1 387 15379 15767 0.0026 0.25 U 584 387 15380 H01 350K/10 M 7 4 13299 0 4 373 12926 13303 0.011 1 U 670 373 12930 G01 350K/20 M 16.2 10 14489 0 10 493 13996 14499 0.02 2 U 814 493 14006 F01 350K/3000 M 4260 1456 7323 5 1451 286 7037 8779 5.4 84.3 U 794 291 8488 E01 700K/0 M 1.8 1 13385 0 1 616 12769 13386 0.0016 0.16 U 1108 616 12770 D01 700K/5 M 1.6 1 13958 0 1 909 13049 13959 0.0011 0.11 U 1580 909 13050 C01 700K/10 M 54 27 11833 0 27 765 11068 11860 0.034 3.3 U 1560 765 11095 B01 700K/20 M 2.2 1 10432 0 1 709 9723 10433 0.0014 0.14 U 1660 709 9724 A01 700K/3000 M 2780 1400 11205 7 1393 876 10329 12605 1.62 61.8 U 1700 883 11722 H05 70K/0 M 0 0 8874 0 0 42 8832 8874 0 0   6 mM U 112 42 8832 G05 70K/5 M 1990 1039 11769 3 1036 47 11722 12808 22 95.6 U 92 50 12758 F05 70K/10 M 1866 1039 12595 0 1039 66 12529 13634 16.3 94.2 U 114 66 13568 E05 70K/20 M 6060 2669 9102 1 2668 54 9048 11771 55 98.21 U 110 55 11716 D05 70K/3000 M 224000 13388 1 3 13385 0 1 13389 42000 100 U 5.2 3 13386 C05 175K/0 M 5.6 3 12577 1 2 123 12454 12580 0.024 2.4 U 234 124 12456 B05 175K/5 M 770 432 12989 1 431 189 12800 13421 2.29 69.6 U 336 190 13231 A05 175K/10 M 3820 1801 10204 2 1799 134 10070 12005 14.3 93.4 U 268 136 11869 H04 175K/20 M 4980 2559 10837 2 2557 153 10684 13396 18.2 94.8 U 274 155 13241 G04 175K/3000 M 20000000 15139 0 0 15139 0 0 15139 100 U 0 0 15139 F04 350K/0 M 9.4 6 14969 0 6 289 14680 14975 0.021 2 U 458 289 14686 E04 350K/5 M 976 588 13876 7 581 429 13447 14464 1.36 57.6 U 720 436 14028 D04 350K/10 M 1270 711 12815 2 709 344 12471 13526 2.08 67.6 U 610 346 13180 C04 350K/20 M 4700 2644 11951 15 2629 312 11639 14595 8.8 89.8 U 534 327 14268 B04 350K/3000 M 20000000 15336 0 2 15334 0 0 15336 100 U 3 2 15334 A04 700K/0 M 1.6 1 14278 0 1 538 13740 14279 0.0018 0.18 U 904 538 13741 H03 700K/5 M 584 337 13425 12 325 976 12449 13762 0.333 25 U 1760 988 12774 G03 700K/10 M 1536 1093 16213 22 1071 1076 15137 17306 1 49.9 U 1542 1098 16208 F03 700K/20 M 4760 2541 11344 28 2513 496 10848 13885 5.25 84 U 906 524 13361 E03 700K/3000 M 20000000 14373 0 0 14373 0 0 14373 100 U 0 0 14373 H11 NTC M 0 0 12407 0 0 0 12407 12407 0 0 U 0 0 12407

TABLE 29 Number of copies of methylated (M) and unmethylated (U) PLA2R1 DNA fragments (copies/20 μl well), proportion M/U (ratio) and relative proportion M/M + U (fractional abundance) in samples having 0, 5, 10, 20 and 3,000 copies of methylated PLA2R1 DNA fragments, and for each case a proportion of 70,000 (70K/0-3000), 175,000 (170K/0-3000), 350,000 (350K/0-3000) and 700,000 (700K/0-3000) copies of unmethylated PLA2R1 DNA fragments using the primer pair 133 bp (SEQ ID: 7 and 8) after 50 pre-amplification cycles at an MgCl₂ concentration of 1.5 mM or 6.0 mM and an annealing temperature of 50° C. and subsequent dPCR. NTC: non-template negative control. Copies/ Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional 20 μl Posi- Nega- Well Sample Target well tive tive Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance MgCl₂ D08 70K/0 M 1.6 1 14934 1 0 14933 1 14935 7.00E-06 0.0007 1.5 mM U 226000 14934 1 C08 70K/5 M 2800 1611 12708 1611 0 12708 0 14319 0.00014 0.014 U 20000000 14319 0 B08 70K/10 M 101800 16700 223 16700 0 223 0 16923 0.0051 0.51 U 20000000 16923 0 A08 70K/20 M 176000 14400 8 14400 0 6 2 14408 0.84 45.8 U 208000 14406 2 H07 70K/3000 M 20000000 14647 0 0 14647 0 0 14647 100 U 0 0 14647 G07 175K/0 M 0 0 15079 0 0 15079 0 15079 0 0 U 20000000 15079 0 F07 175K/5 M 1.4 1 15751 1 0 15751 0 15752 7.00E−08 7.00E−06 U 20000000 15752 0 E07 175K/10 M 1458 847 13258 847 0 13258 0 14105  7.3E−05 0.0073 U 20000000 14105 0 D07 175K/20 M 2192 1482 15175 1482 0 15174 1 16657 0.0096 0.95 U 228000 16656 1 C07 175K/3000 M 20000000 14743 0 4 14739 0 0 14743 100 U 6.4 4 14739 B07 350K/0 M 0 0 15783 0 0 15779 4 15783 0 0 U 194000 15779 4 A07 350K/5 M 430 318 17265 318 0 17239 26 17583 0.0028 0.279 U 153400 17557 26 H06 350K/10 M 286 119 9764 119 0 9763 1 9883 0.00132 0.132 U 216000 9882 1 G06 350K/20 M 33680 9971 3131 9971 0 3131 0 13102 0.0017 0.17 U 20000000 13102 0 F06 350K/3000 M 20000000 11525 0 367 11158 0 0 11525 26000 100 U 762 367 11158 E06 700K/0 M 0 0 13798 0 0 13798 0 13798 0 0 U 20000000 13798 0 D06 700K/5 M 22 11 12214 11 0 12212 2 12225 0.0001 0.01 U 206000 12223 2 C06 700K/10 M 5.8 3 12099 3 0 12098 1 12102  2.6E−05 0.0026 U 222000 12101 1 B06 700K/20 M 856 470 12694 470 0 12694 0 13164  4.3E−05 0.0043 U 20000000 13164 0 A06 700K/3000 M 20000000 11920 0 7202 4718 0 0 11920 920 99.89 U 21800 7202 4718 H10 70K/0 M 0 0 16220 0 0 16216 4 16220 0 0   6 mM U 196000 16216 4 G10 70K/5 M 0 0 15609 0 0 15609 0 15609 0 0 U 20000000 15609 0 F10 70K/10 M 1.6 1 15284 1 0 15284 0 15285 8.00E−08 8.00E−06 U 20000000 15285 0 E10 70K/20 M 0 0 16842 0 0 16841 1 16842 0 0 U 228000 16841 1 D10 70K/3000 M 20000000 15099 0 15089 10 0 0 15099 120 99.15 U 172000 15089 10 C10 175K/0 M 1.6 1 14131 1 0 14127 4 14132 9.00E−06 0.0009 U 192000 14128 4 B10 175K/5 M 0 0 14404 0 0 14400 4 14404 0 0 U 192000 14400 4 A10 175K/10 M 0 0 14134 0 0 14129 5 14134 0 0 U 186000 14129 5 H09 175K/20 M 0 0 12685 0 0 12684 1 12685 0 0 U 222000 12684 1 G09 175K/3000 M 116000 13858 101 13847 11 79 22 13959 0.82 44.9 U 142200 13926 33 F09 350K/0 M 0 0 13733 0 0 13733 0 13733 0 0 U 20000000 13733 0 E09 350K/5 M 1.6 1 14852 1 0 14851 1 14853 7.00E−06 0.0007 U 226000 14852 1 D09 350K/10 M 3.2 2 14367 2 0 14367 0 14369  1.6E−07  1.6E−05 U 20000000 14369 0 C09 350K/20 M 0 0 13833 0 0 13833 0 13833 0 0 U 20000000 13833 0 B09 350K/3000 M 137200 13956 41 13956 0 41 0 13997 0.0069 0.68 U 20000000 13997 0 A09 700K/0 M 1.6 1 13937 1 0 13937 0 13938 8.00E−08 8.00E−06 U 20000000 13938 0 H08 700K/5 M 1.4 1 16530 1 0 16528 2 16531 7.00E−06 0.0007 U 212000 16529 2 G08 700K/10 M 7.4 5 16058 5 0 16053 5 16063  3.9E−05 0.0039 U 190000 16058 5 F08 700K/20 M 0 0 16236 0 0 16221 15 16236 0 0 U 164000 16221 15 E08 700K/3000 M 7760 4538 11614 4538 0 11614 0 16152 0.00039 0.039 U 20000000 16152 0 G11 NTC M 0 0 16573 0 0 0 16573 16573 0 0 U 0 0 16573

TABLE 30 Number of copies of methylated (M) and unmethylated (U) PLA2R1 DNA fragments (copies/20 μl well), proportion M/U (ratio) and relative proportion M/M + U (fractional abundance) in samples having 0, 5, 10, 20 and 3,000 copies of methylated PLA2R1 DNA fragments, and for each case a proportion of 70,000 (70K/0-3000), 175,000 (170K/0-3000), 350,000 (350K/0-3000) and 700,000 (700K/0-3000) copies of unmethylated PLA2R1 DNA fragments using the primer pair 133 bp (SEQ ID: 7 and 8) after 50 pre-amplification cycles at an MgCl₂ concentration of 1.5 mM or 6.0 mM and an annealing temperature of 63° C. and subsequent dPCR. NTC: non-template negative control. Copies/20 μl Ch1+ Ch1+ Ch1− Ch1− Accepted Fractional Well Sample Target well Positive Negative Ch2+ Ch2− Ch2+ Ch2− droplets Ratio abundance MgCl₂ D08 70K/0 M 0 0 12948 0 0 12947 1 12948 0 0 1.5 mM U 222000 12947 1 C08 70K/5 M 20000000 12682 0 2227 10455 0 0 12682 4400 99.977 U 4540 2227 10455 B08 70K/10 M 20000000 14665 0 5625 9040 0 0 14665 1800 99.943 U 11380 5625 9040 A08 70K/20 M 190000 12963 4 568 12395 0 4 12967 180 99.45 U 1054 568 12399 H07 70K/3000 M 20000000 14373 0 0 14373 0 0 14373 100 U 0 0 14373 G07 175K/0 M 7.4 5 15986 5 0 15978 8 15991 4.1E−05 0.0041 U 178000 15983 8 F07 175K/5 M 224000 13736 1 13735 1 1 0 13737 1 50 U 224000 13736 1 E07 175K/10 M 20000000 13236 0 3441 9795 0 0 13236 2800 99.965 U 7080 3441 9795 D07 175K/20 M 20000000 13433 0 4918 8515 0 0 13433 1900 99.946 U 10720 4918 8515 C07 175K/3000 M 226000 14414 1 1 14413 0 1 14415 140000 99.993 U 1.6 1 14414 B07 350K/0 M 0 0 14207 0 0 14207 0 14207 0 0 U 20000000 14207 0 A07 350K/5 M 58600 12525 1133 12525 0 996 137 13658 0.541 35.1 U 108200 13521 137 H06 350K/10 M 20000000 13957 0 13957 0 0 0 13957 1 50 U 20000000 13957 0 G06 350K/20 M 20000000 13838 0 13838 0 0 0 13838 1 50 U 20000000 13838 0 F06 350K/3000 M 20000000 13946 0 0 13946 0 0 13946 100 U 0 0 13946 E06 700K/0 M 0 0 13541 0 0 13538 3 13541 0 0 U 198000 13538 3 D06 700K/5 M 0 0 13368 0 0 13368 0 13368 0 0 U 20000000 13368 0 C06 700K/10 M 20000000 11725 0 11724 1 0 0 11725 90 98.9 U 220000 11724 1 B06 700K/20 M 224000 13323 1 13323 0 1 0 13324 0.011 1.1 U 20000000 13324 0 A06 700K/3000 M 224000 13197 1 0 13197 0 1 13198 100 U 0 0 13198 H10 70K/0 M 0 0 13306 0 0 13306 0 13306 0 0   6 mM U 20000000 13306 0 G10 70K/5 M 20000000 16759 0 1 16758 0 0 16759 1000000 100 U 1.4 1 16758 F10 70K/10 M 226000 14386 1 0 14386 0 1 14387 100 U 0 0 14387 E10 70K/20 M 228000 15578 1 2 15576 0 1 15579 80000 100 U 3 2 15577 D10 70K/3000 M 20000000 14384 0 11 14373 0 0 14384 1000000 100 U 18 11 14373 C10 175K/0 M 0 0 14344 0 0 14288 56 14344 0 0 U 130400 14288 56 B10 175K/5 M 20000000 16380 0 10788 5592 0 0 16380 790 99.87 U 25280 10788 5592 A10 175K/10 M 20000000 14283 0 0 14283 0 0 14283 100 U 0 0 14283 H09 175K/20 M 20000000 12692 0 0 12692 0 0 12692 100 U 0 0 12692 G09 175K/3000 M 20000000 15891 0 2 15889 0 0 15891 1000000 100 U 3 2 15889 F09 350K/0 M 1.4 1 16234 1 0 16220 14 16235 9.00E−06 0.0009 U 166000 16221 14 E09 350K/5 M 20000000 14935 0 11316 3619 0 0 14935 600 99.83 U 33360 11316 3619 D09 350K/10 M 20000000 15498 0 682 14816 0 0 15498 19000 100 U 1058 682 14816 C09 350K/20 M 20000000 11865 0 21 11844 0 0 11865 480000 100 U 42 21 11844 B09 350K/3000 M 20000000 13551 0 0 13551 0 0 13551 100 U 0 0 13551 A09 700K/0 M 0 0 14046 0 0 14046 0 14046 0 0 U 20000000 14046 0 H08 700K/5 M 20000000 13431 0 13427 4 0 0 13431 100 99.05 U 192000 13427 4 G08 700K/10 M 20000000 12296 0 1472 10824 0 0 12296 6700 99.985 U 3000 1472 10824 F08 700K/20 M 188000 14635 5 8 14627 0 5 14640 15000 100 U 12.8 8 14632 E08 700K/3000 M 20000000 14344 0 0 14344 0 0 14344 100 U 0 0 14344 H11 NTC M 0 0 12407 0 0 0 12407 12407 0 0 U 0 0 12407

TABLE 31 Determination of GSTP1 and RASSF1A methylation by means of the BBPA-dPCR method and using the GSTP1 116 bp primer (SEQ ID No: 93 and 94; 4.5 mM MgCl₂ concentration; 53.7° C. annealing temperature and 15× BBPA cycles), GSTP1 120 bp primer (SEQ ID No: 5 and 6; 2.5 mM MgCl₂ concentration; 50.7° C. annealing temperature and 15× BBPA cycles) and RASSF1A 117 bp primer (SEQ ID No: 3 and 4; 2.5 mM MgCl₂ concentration; 55.7° C. annealing temperature and 15× BBPA cycles) in serum samples from healthy women (K1-K25) and patients with breast-CA (P1-P16) and ovarian CA (P17-P23), one serum sample from patient P8a after eight weeks of chemotherapy (P8b) and one patient (P24) with pathogenic BRCA1 mutation. Pathological methylation values are in bold. The cut- off values for each gene are given in the first row. CA 15-3 GSTP1 GSTP1 RASSF1A or CA125 116 bp 120 bp 117 bp ID Age in U/ml <0.05% <0.067% <3.0% Clinical findings K1 21 0 0 1.1 K2 21 0 0 1 K3 29 0 0 0.94 K4 23 0 0 0.9 K5 20 0 0.0022 0.63 K6 18 0 0 0.4 K7 26 0 0 1.5 K8 20 0 0 2.7 K9 31 0.029 0 1.26 K10 45 0 0 1.6 K11 48 0 0 0.7 K12 34 0 0 0.8 K13 16 0 0 0.8 K14 23 0 0 1.6 K15 20 0 0 0.9 K16 43 0.05 0 1.1 K17 41 0 0.017 0 K18 22 0 0 1 K19 71 0 0.014 3 K20 36 0 0.055 0.4 K21 25 0 0 1.3 K22 34 0 0.067 0.6 K23 46 0.03 0 1.4 K24 19 0 0 0.9 K25 49 0 0 0 CA 15-3 P1 57 28.5 0.19 0 3.4 bifocal invasive breast-CA P2 67 27.8 0.54 0 0.88 invasive breast-CA, left P3 42 25.4 7.9 0 1 lymphogenic, osseous, pulmonary and hepatic metastatic breast-CA, right P4 71 99.7 0.65 0 5.7 breast-CA with known BRCA1 mutation P5 75 59.0 27.6 0 1.4 secondary osseous, lymphogenic, pleural and pulmonary metastatic breast-CA P6 76 73.0 1.9 0 7.6 secondary cutaneous, osseous and stomach metastatic invasive lobular breast-CA P7 47 504.3 37.7 0.15 10.0 secondary osseous metastatic breast- CA with tumour progression P8a 63 941.3 0.9 0 18.0 primary osseous and hepatic metastatic breast-CA P9 58 120.5 0.04 0 6.2 osseous, lymphogenic, pleural and pulmonary metastatic breast-CA P10 87 1098 3.6 0.12 1.5 secondary osseous metastatic breast- CA with tumour progression P11 73 106.8 0 0.011 6.7 secondary osseous, lymphogenic, pleural and pulmonary metastatic breast-CA P12 64 130.7 11.6 0 0.69 secondary osseous and hepatic metastatic breast-CA P13 60 157.5 5.3 0 3.4 secondary pulmonary, pleural and osseous metastatic breast-CA P14 76 145.2 8.8 0 0.32 secondary lymphogenic, pleural and adrenal metastatic breast-CA P15 30 178.5 18.4 0.005 50.1 secondary osseous, lymphogenic, pleural, hepatic and meningeal metastatic breast-CA P16 56 650 1.39 0 2.3 secondary pleural and hepatic metastatic breast-CA CA 125 P17 70 57.2 1.12 0 1.02 serous high-grade ovarian-CA P18 76 1871 2.7 0 1.1 lymphogenic and hepatic metastatic ovarian cancer P19 57 23.8 0 6.1 9.0 malignant mesodermal mixed tumour in ovary area P20 51 188.6 0 0 6.0 late-recurrent ovarian cancer with hepatic and lymphogenic metastasis P21 54 903.2 0 1.3 7.0 lymphogenic and peritoneal metastatic ovarian cancer P22 73 56.2 0.12 0.005 2.5 early-recurring ovarian cancer with liver metastasis P23 49 196.7 1.1 5.8 0 late-recurrent ovarian cancer CA 15-3 P8b 63 133 0 0 2 serum sample from patient P8a after 8 weeks of chemotherapy P24 32 9.8 0.54 0 1.1 pathogenic BRCA1 mutation, prophylactic mastectomy

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The invention claimed is:
 1. Method for amplifying and quantifying DNA in an isolated sample, comprising the steps of: a) bisulphite conversion of the DNA in the sample, b) pre-amplifying methylated and unmethylated DNA sequences by means of PCR, wherein the methylated DNA sequences are amplified to a different extent than the unmethylated DNA sequences, c) quantifying the methylated and unmethylated DNA obtained in step b) by means of digital PCR, wherein the average number of DNA molecules per compartment used in the digital PCR is at least
 8. 2. Method according to claim 1, wherein the isolated sample is a bodily fluid.
 3. Method according to claim 1, wherein methylated and unmethylated DNA sequences in PLA2R1, RASSF1A and GSTP1 genes are pre-amplified in step b).
 4. Method according to claim 1, wherein step b) for pre-amplification, multiple primer pairs are simultaneously used in the PCR.
 5. Method according to claim 1, wherein the methylated and unmethylated DNA sequences are quantified in step c) using probes, the probes for the methylated DNA sequences comprising a total of at least three 5′-CG-3′ dinucleotides for each DNA sequence and/or the probes for the unmethylated DNA sequences comprising a total of at least three 5′-CA-3′ dinucleotides or at least three 5′-TG-3′ dinucleotides for each DNA sequence, the probes wherein the probes comprise sequences selected from the group consisting of SEQ ID NO: 20, SEQ ID NO: 21, SEQ ID NO: 22, SEQ ID NO: 23, SEQ ID NO: 26, SEQ ID NO: 27, SEQ ID NO: 28, SEQ ID NO: and SEQ ID NO:
 60. 6. The method according to claim 1, wherein the average number of DNA molecules per compartment used in the digital PCR is at least
 10. 7. The method according to claim 3, wherein at least one forward primer and at least one reverse primer is used in step b) for pre-amplifying methylated and unmethylated PLA2R1 sequences, the at least one forward primer comprises a sequence corresponding to SEQ ID NO: 1, SEQ ID NO: 7, or SEQ ID NO: 53, and the at least one reverse primer comprises a sequence corresponding to SEQ ID NO: 2, SEQ ID NO: 8, SEQ ID NO: 9, SEQ ID NO: 10, or SEQ ID NO:
 11. 8. The method according to claim 7, wherein the at least one forward primer comprises a sequence corresponding to SEQ ID NO: 1 or SEQ ID NO: 7 and the at least one reverse primer comprises a sequence corresponding to SEQ ID NO: 2 or SEQ ID NO:
 8. 9. The method according to claim 3, wherein at least one forward primer and at least one reverse primer is used in step b) for pre-amplifying methylated and unmethylated RASSF1A sequences, the at least one forward primer comprises a sequence corresponding to SEQ ID NO: 3, SEQ ID NO: 61, SEQ ID NO: 104, SEQ ID NO: 106, SEQ ID NO: 108, or SEQ ID NO: 110, and the at least one reverse primer comprises a sequence corresponding to SEQ ID NO: 4, SEQ ID NO: 62, SEQ ID NO: 105, SEQ ID NO: 107, SEQ ID NO: 109, or SEQ ID NO:
 111. 10. The method according to claim 9, wherein the at least one forward primer comprises a sequence corresponding to SEQ ID NO: 3, SEQ ID NO: 106, or SEQ ID NO: 108, and the at least one reverse primer comprises a sequence corresponding to SEQ ID NO: 4, SEQ ID NO: 107, or SEQ ID NO:
 109. 11. The method according to claim 3, wherein at least one forward primer and at least one reverse primer is used in step b) for pre-amplifying methylated and unmethylated GSTP1 sequences, the at least one forward primer comprises a sequence corresponding to SEQ ID NO: 5, SEQ ID NO: 12, SEQ ID NO: 91, SEQ ID NO: 93, SEQ ID NO: 95, or SEQ ID NO: 97, and the at least one reverse primer comprises a sequence corresponding to SEQ ID NO: 6, SEQ ID NO: 13, SEQ ID NO: 92, SEQ ID NO: 94, SEQ ID NO: 96, or SEQ ID NO:
 98. 12. The method according to claim 11, wherein the at least one forward primer comprises a sequence corresponding to SEQ ID NO: 5 or SEQ ID NO: 93 and the at least one reverse primer comprises a sequence corresponding to SEQ ID NO: 6 or SEQ ID NO:
 94. 13. Method according to claim 1, wherein the methylated and unmethylated DNA sequences are quantified in step c) using probes, the probes for the methylated DNA sequences comprising a total of at least three 5′-CG-3′ dinucleotides for each DNA sequence and/or the probes for the unmethylated DNA sequences comprising a total of at least three 5′-CA-3′ dinucleotides or at least three 5′-TG-3′ dinucleotides for each DNA sequence, the probes wherein the probes comprise sequences selected from the group consisting of SEQ ID NO: 24, SEQ ID NO: 25, SEQ ID NO: 29, SEQ ID NO: 30, SEQ ID NO: 31, SEQ ID NO: 32, SEQ ID NO: 54, SEQ ID NO: 55, SEQ ID NO: 115, SEQ ID NO: 116, SEQ ID NO: 117, SEQ ID NO: 118, SEQ ID NO: 122, SEQ ID NO: 123, SEQ ID NO: 124, and SEQ ID NO:
 125. 14. Method according to claim 1, wherein the methylated and unmethylated DNA sequences are quantified in step c) using probes, the probes for the methylated DNA sequences comprising a total of at least three 5′-CG-3′ dinucleotides for each DNA sequence and/or the probes for the unmethylated DNA sequences comprising a total of at least three 5′-CA-3′ dinucleotides or at least three 5′-TG-3′ dinucleotides for each DNA sequence, the probes wherein the probes comprise sequences selected from the group consisting of SEQ ID NO: 33, SEQ ID NO: 34, SEQ ID NO: 35, SEQ ID NO: 36, SEQ ID NO: 45, SEQ ID NO: 46, SEQ ID NO: 47, SEQ ID NO: 48, SEQ ID NO: 49, SEQ ID NO: 50, SEQ ID NO: 51, SEQ ID NO: 52, SEQ ID NO: 56, SEQ ID NO: 57, SEQ ID NO: 58, and SEQ ID NO:
 59. 15. Method according to claim 1, wherein the methylated and unmethylated DNA sequences are quantified in step c) using probes, the probes for the methylated DNA sequences comprising a total of at least three 5′-CG-3′ dinucleotides for each DNA sequence and/or the probes for the unmethylated DNA sequences comprising a total of at least three 5′-CA-3′ dinucleotides or at least three 5′-TG-3′ dinucleotides for each DNA sequence, the probes wherein the probes comprise sequences selected from the group consisting of SEQ ID NO: 39, SEQ ID NO: 40, SEQ ID NO: 41, SEQ ID NO: 42, SEQ ID NO: 77, SEQ ID NO: 78, SEQ ID NO: 79, SEQ ID NO: 84, SEQ ID NO: 85, SEQ ID NO: 86, SEQ ID NO: 112, SEQ ID NO: 113, SEQ ID NO: 114, SEQ ID NO: 119, SEQ ID NO: 120, and SEQ ID NO:
 121. 16. Method according to claim 1, wherein the methylated and unmethylated DNA sequences are quantified in step c) using probes, the probes for the methylated DNA sequences comprising a total of at least three 5′-CG-3′ dinucleotides for each DNA sequence and/or the probes for the unmethylated DNA sequences comprising a total of at least three 5′-CA-3′ dinucleotides or at least three 5′-TG-3′ dinucleotides for each DNA sequence, the probes wherein the probes comprise sequences selected from the group consisting of SEQ ID NO: 80, SEQ ID NO: 81, SEQ ID NO: 82, SEQ ID NO: 83, SEQ ID NO: 87, SEQ ID NO: 88, SEQ ID NO: 89, SEQ ID NO: 90, SEQ ID NO: 155, SEQ ID NO: 156, SEQ ID NO: 157, SEQ ID NO: 158, SEQ ID NO: 165, SEQ ID NO: 166, SEQ ID NO: 167, SEQ ID NO: 168, SEQ ID NO: 169, SEQ ID NO: 170, SEQ ID NO: 171, SEQ ID NO: 172, SEQ ID NO: 173, SEQ ID NO: 174, SEQ ID NO: 175, SEQ ID NO: 176, SEQ ID NO: 177, and SEQ ID NO:
 178. 17. Method according to claim 1, wherein the methylated and unmethylated DNA sequences are quantified in step c) using probes, the probes for the methylated DNA sequences comprising a total of at least three 5′-CG-3′ dinucleotides for each DNA sequence and/or the probes for the unmethylated DNA sequences comprising a total of at least three 5′-CA-3′ dinucleotides or at least three 5′-TG-3′ dinucleotides for each DNA sequence, the probes wherein the probes comprise sequences selected from the group consisting of SEQ ID NO: 159, SEQ ID NO: 160, SEQ ID NO: 161, SEQ ID NO: 162, SEQ ID NO: 163, SEQ ID NO: 164, SEQ ID NO: 179, SEQ ID NO: 180, SEQ ID NO: 181, SEQ ID NO: 182, SEQ ID NO: 183, and SEQ ID NO:
 184. 18. Method according to claim 1, wherein the methylated and unmethylated DNA sequences are quantified in step c) using probes, the probes for the methylated DNA sequences comprising a total of at least three 5′-CG-3′ dinucleotides for each DNA sequence and/or the probes for the unmethylated DNA sequences comprising a total of at least three 5′-CA-3′ dinucleotides or at least three 5′-TG-3′ dinucleotides for each DNA sequence, the probes wherein the probes comprise sequences selected from the group consisting of SEQ ID NO: 43 and SEQ ID NO:
 44. 19. The method according to claim 1, wherein the average number of DNA molecules per compartment used in the digital PCR is at least
 20. 20. The method according to claim 1, wherein the average number of DNA molecules per compartment used in the digital PCR is at least
 50. 